Udemy - Data Science Career Path 100 Days of Data Science Bootcamp (2.2025)

Creation Time	May 25, 2026, 12:54 p.m.
Last Access Time	Oct. 6, 2026, 8:35 a.m.
File Size	17.1 GB
Keywords	Career Science - Days Udemy 2025 2 of Path 100 Bootcamp Data
Total Requests	252
Total Files	484
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110 - Day 99 Gen AI Chatbot Development/5 -Hands-on Lab Gen AI Chatbot.mp4 287.9 MB
20 - Day 17 Python Web Scrapping/3 -Hands-on Lab BeautifulSoup.mp4 203.6 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/20 -DAX for logical functions.mp4 169.4 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/25 -Installing gauge charts.mp4 155.1 MB
9 - ------- Phase 2 Python for Data Science -------/1 -Notes Phase 2 Day 7-18.zip 152.7 MB
4 - Day 2 The Field of Data Science - PART 1/3 -Statistical Modeling.mp4 137.8 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/18 -DAX for math and statistics.mp4 126.4 MB
106 - Day 95 Deep Learning in Real-life/3 -Model training.mp4 110.5 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/22 -Installing KPI cards.mp4 108.6 MB
5 - Day 3 The Field of Data Science - PART 2/1 -Machine Learning.mp4 106.7 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/21 -Getting started with dashboard.mp4 106.4 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/32 -SPECIAL Slicers for interactivity.mp4 105.2 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/31 -SPEACIAL Power BI tooltip.mp4 104.2 MB
109 - Day 98 Gen AI Text-to-Image Development/5 -Hands-on Lab Gen AI Text2Image.mp4 103.3 MB
59 - Day 52 Five-steps in Hypothesis Testing/3 -Step 3 Perform assumption test.mp4 102.0 MB
49 - Day 43 Bar Chart Visualization/2 -Python for creating bar chart.mp4 101.5 MB
92 - Day 82 KMeans Clustering Model/1 -How KMeans clustering works.mp4 96.0 MB
5 - Day 3 The Field of Data Science - PART 2/2 -Deep Learning.mp4 95.7 MB
68 - Day 61 Linear Regression Analysis/1 -Linear regression analysis.mp4 95.3 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/34 -IMPORTANT Final touch.mp4 95.2 MB
4 - Day 2 The Field of Data Science - PART 1/2 -Business Intelligence.mp4 94.9 MB
84 - Day 75 Evaluation and Validation/1 -Model evaluating metrics.mp4 93.1 MB
62 - Day 55 Data Transformation/2 -Python for data transformation.mp4 92.1 MB
18 - Day 15 Python Functions/1 -Developing Functions.mp4 91.4 MB
97 - Day 87 AdaBoost Models/3 -Hands-on AdaBoost Models.mp4 90.0 MB
16 - Day 13 Python Conditionals/2 -Hands-on Condition & Branching.mp4 89.2 MB
60 - Day 53 Investigating distribution/2 -Python for creating Kdeplot.mp4 88.7 MB
4 - Day 2 The Field of Data Science - PART 1/1 -Data Analysis.mp4 88.0 MB
28 - Day 24 Probability Distributions/3 -Continuous distributions.mp4 85.1 MB
62 - Day 55 Data Transformation/3 -Hands-on Data transformation.mp4 85.0 MB
8 - Day 6 Data Science Methodology/5 -Step 5 - Model evaluation.mp4 84.0 MB
3 - Day 1 Introduction to Data Science/1 -What is Data Science.mp4 83.5 MB
81 - Day 72 Essential Mathematics PART 1/1 -What is Matrix.mp4 82.7 MB
89 - Day 79 Dealing with overfitting - Method 2/1 -L1, L2 regularization.mp4 80.6 MB
17 - Day 14 Python Iteratives/2 -Hands-on Loops.mp4 80.4 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/23 -Plotting line chart.mp4 80.3 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/7 -Numeric data analysis.mp4 77.9 MB
107 - Day 96 AI Fundamentals/4 -NLP, Speech Technology & Computer vision.mp4 77.3 MB
49 - Day 43 Bar Chart Visualization/3 -Hands-on Creating bar chart.mp4 77.2 MB
19 - Day 16 Python Object & Classes/2 -Hands-on Object & Classes.mp4 76.9 MB
102 - Day 92 Hyper-parameter Tuning/3 -Hands-on Hyperparameter tuning.mp4 76.4 MB
3 - Day 1 Introduction to Data Science/3 -The path to be a Data Scientist.mp4 75.8 MB
110 - Day 99 Gen AI Chatbot Development/4 -Developing Gen AI Chatbot.mp4 75.3 MB
30 - Day 26 Probability Distributions - Continuous/2 -Students' T distribution.mp4 73.6 MB
81 - Day 72 Essential Mathematics PART 1/3 -Linear algebra introduction.mp4 72.7 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/29 -Table matrix visualization.mp4 72.4 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/26 -Decorating dashboard.mp4 72.1 MB
7 - Day 5 Tools of Data Science/1 -Database management tools.mp4 71.6 MB
18 - Day 15 Python Functions/2 -Hands-on Functions.mp4 71.2 MB
6 - Day 4 The role of Data in Data Science/1 -Traditional Data vs Big Data.mp4 70.4 MB
13 - Day 10 Python Tuples and Lists/1 -Understanding Tuples and Lists.mp4 70.4 MB
58 - Day 51 Essentials of Inferential Statistics/4 -Null vs Alternative Hypothesis.mp4 69.7 MB
55 - Day 49 Box-plot Visualization/1 -Use cases of Box-plot.mp4 69.0 MB
26 - Day 22 The law of Probability/3 -The bayes' law.mp4 68.8 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/11 -Joining datasets.mp4 67.7 MB
87 - Day 77 Logistic Regression Model/1 -How Logistic regression works.mp4 67.3 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/27 -Creating bar charts.mp4 67.3 MB
99 - Day 89 CatBoost Models/3 -Hands-on CatBoost Models.mp4 66.9 MB
59 - Day 52 Five-steps in Hypothesis Testing/2 -Step 2 Select Significance level.mp4 66.8 MB
12 - Day 9 Python String Operators/2 -Hands-on String Operators.mp4 66.0 MB
58 - Day 51 Essentials of Inferential Statistics/2 -Z-score vs T-score.mp4 65.3 MB
58 - Day 51 Essentials of Inferential Statistics/1 -Confidence interval.mp4 65.1 MB
56 - ------- Phase 6 Inferential Statistics & Statistical Modeling -------/1 -Notes Phase 6 Day 50-61.zip 65.0 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/19 -DAX for counting categories.mp4 64.7 MB
39 - Day 34 Filtering Dataframe/3 -Hands-on Data filtering.mp4 64.6 MB
3 - Day 1 Introduction to Data Science/2 -Fundamentals of Data Science.mp4 64.5 MB
88 - Day 78 Dealing with overfitting - Method 1/1 -K-fold cross validation.mp4 64.0 MB
5 - Day 3 The Field of Data Science - PART 2/3 -Artificial Intelligence.mp4 63.9 MB
45 - Day 39 Python Descriptive Analysis/2 -Hands-on Descriptive analysis.mp4 63.0 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/1 -Importing dataset into Power BI.mp4 62.0 MB
92 - Day 82 KMeans Clustering Model/3 -Hands-on KMeans clustering.mp4 61.9 MB
90 - Day 80 Solving imbalanced data - Method 1/1 -The oversampling method.mp4 61.8 MB
13 - Day 10 Python Tuples and Lists/2 -Hands-on Tuples and Lists.mp4 61.4 MB
77 - Day 69 Feature scaling/1 -Methods of Feature scaling.mp4 61.2 MB
16 - Day 13 Python Conditionals/1 -Condition and Branching.mp4 61.0 MB
7 - Day 5 Tools of Data Science/3 -360 Data analytics tools.mp4 60.8 MB
98 - Day 88 Traditional GBM Model/1 -How Traditional GBM works.mp4 60.7 MB
93 - Day 83 Decision Tree Regression Model/1 -How Decision tree regression works.mp4 60.3 MB
65 - Day 58 Analysis of Variance/3 -Hands-on Analysis of Variance.mp4 59.7 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/30 -Map visualization.mp4 59.1 MB
70 - Day 62 Generating new features/1 -How to generate new feature.mp4 59.1 MB
83 - Day 74 Introduction to Machine learning/2 -Supervised Regression models.mp4 59.1 MB
76 - Day 68 Feature selection/3 -Hand-on Feature selection.mp4 58.9 MB
41 - Day 36 Concatenating Dataframes/3 -Hands-on Data concatenation.mp4 58.8 MB
58 - Day 51 Essentials of Inferential Statistics/3 -Margin of error.mp4 58.7 MB
102 - Day 92 Hyper-parameter Tuning/1 -What is Hyperparameter tuning.mp4 58.6 MB
112 - APPENDIX - Data Management A-Z with SQL/6 -Loading CSV dataset in MySQL.mp4 58.2 MB
59 - Day 52 Five-steps in Hypothesis Testing/4 -Step 4 Perform appropriate test.mp4 58.1 MB
58 - Day 51 Essentials of Inferential Statistics/5 -Type and Type Error.mp4 57.4 MB
78 - Day 70 Dimensionality reduction/1 -What is Dimensionality reduction.mp4 56.9 MB
104 - Day 93 Fundamentals of Deep Learning/3 -What is TensorFlow.mp4 56.8 MB
83 - Day 74 Introduction to Machine learning/3 -Supervised Classification models.mp4 56.4 MB
49 - Day 43 Bar Chart Visualization/1 -Use cases of Bar chart.mp4 56.3 MB
47 - Day 41 PIVOT table analysis/3 -Hands-on PIVOT table analysis.mp4 55.8 MB
81 - Day 72 Essential Mathematics PART 1/2 -Scalars and Vectors.mp4 55.4 MB
78 - Day 70 Dimensionality reduction/2 -Python for Dimensionality reduction.mp4 55.4 MB
47 - Day 41 PIVOT table analysis/2 -Python for PIVOT table analysis.mp4 54.9 MB
95 - Day 85 Random Forest Regression Model/1 -How Random forest regression works.mp4 54.8 MB
107 - Day 96 AI Fundamentals/1 -What is AI and AI workflow.mp4 54.2 MB
57 - Day 50 Exploring Inferential Statistics/3 -Standard error.mp4 53.9 MB
100 - Day 90 LightGBM Models/1 -How LightGBM Models work.mp4 52.6 MB
101 - Day 91 XGBoost Models/1 -How XGBoost Models work.mp4 52.1 MB
34 - Day 29 Dataframe's Data Types/3 -Hands-on Data types in dataframe.mp4 51.7 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/24 -Developing area chart.mp4 51.7 MB
104 - Day 93 Fundamentals of Deep Learning/1 -Understanding Deep Learning.mp4 51.4 MB
73 - Day 65 Feature binning/1 -When to bin feature.mp4 51.2 MB
7 - Day 5 Tools of Data Science/2 -Programming languages.mp4 51.2 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/16 -Data column formats & categories.mp4 51.0 MB
94 - Day 84 Decision Tree Classification Model/1 -How Decision tree classification works.mp4 51.0 MB
107 - Day 96 AI Fundamentals/2 -Various types of Artificial intelligence.mp4 50.7 MB
21 - Day 18 Reading and Writing files/4 -Hands-on Lab Importing JASON & XML.mp4 50.7 MB
83 - Day 74 Introduction to Machine learning/4 -Unsupervised clustering models.mp4 50.5 MB
101 - Day 91 XGBoost Models/3 -Hands-on XGBoost Models.mp4 50.5 MB
100 - Day 90 LightGBM Models/3 -Hands-on LightGBM Models.mp4 50.1 MB
30 - Day 26 Probability Distributions - Continuous/3 -Chi-squared distribution.mp4 50.0 MB
112 - APPENDIX - Data Management A-Z with SQL/63 -GROUP BY group data analysis with functions.mp4 49.8 MB
91 - Day 81 Solving imbalanced data - Method 2/1 -The undersampling method.mp4 49.7 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/33 -SPECIAL Adding custom button.mp4 49.6 MB
86 - Day 76 Linear Regression Model/1 -How Linear regression works.mp4 49.5 MB
7 - Day 5 Tools of Data Science/5 -Development environments.mp4 49.4 MB
57 - Day 50 Exploring Inferential Statistics/2 -Central limit theorem.mp4 49.2 MB
104 - Day 93 Fundamentals of Deep Learning/2 -Neural Networks in Deep Learning.mp4 49.0 MB
12 - Day 9 Python String Operators/1 -Various String Operators.mp4 48.9 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/28 -Installing donut chart.mp4 48.9 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/8 -Date and time manipulation.mp4 48.7 MB
104 - Day 93 Fundamentals of Deep Learning/4 -How TensorFlow 2.0 works.mp4 48.7 MB
75 - Day 67 Generating dummies/1 -When to generate dummies.mp4 48.7 MB
84 - Day 75 Evaluation and Validation/3 -Imbalanced data problem.mp4 48.6 MB
98 - Day 88 Traditional GBM Model/3 -Hands-on Traditional GBM Model.mp4 48.3 MB
83 - Day 74 Introduction to Machine learning/1 -What is Machine learning.mp4 48.0 MB
20 - Day 17 Python Web Scrapping/1 -API, REST API & Request.mp4 47.7 MB
112 - APPENDIX - Data Management A-Z with SQL/68 -HAVING advanced conditional format.mp4 47.2 MB
57 - Day 50 Exploring Inferential Statistics/1 -What is inferential statistics.mp4 46.8 MB
17 - Day 14 Python Iteratives/1 -Loops for Iteration.mp4 46.6 MB
99 - Day 89 CatBoost Models/1 -How CatBoost Models work.mp4 46.5 MB
30 - Day 26 Probability Distributions - Continuous/4 -Exponential distribution.mp4 45.5 MB
62 - Day 55 Data Transformation/1 -Data transformations methods.mp4 45.5 MB
20 - Day 17 Python Web Scrapping/2 -HTML and BeautifulSoup.mp4 45.4 MB
23 - Day 19 Getting started with Probability/2 -Expected value vs Actual value.mp4 44.7 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/6 -Text data manipulation.mp4 43.9 MB
8 - Day 6 Data Science Methodology/4 -Step 4 - Data modeling.mp4 43.7 MB
68 - Day 61 Linear Regression Analysis/3 -Hands-on Linear regression.mp4 43.4 MB
106 - Day 95 Deep Learning in Real-life/1 -Understanding the data.mp4 43.3 MB
24 - Day 20 Combinatorics in Probability/1 -Intro to combinatorics.mp4 43.2 MB
67 - Day 60 Pearson Correlation Test/3 -Hands-on Pearson correlation.mp4 43.0 MB
21 - Day 18 Reading and Writing files/2 -Hands-on Lab Importing datasets.mp4 42.9 MB
108 - Day 97 Prompt Engineering/2 -The Prompt engineering.mp4 42.6 MB
14 - Day 11 Python Set operators/1 -Understanding Set.mp4 42.3 MB
57 - Day 50 Exploring Inferential Statistics/4 -Estimators and estimates.mp4 42.3 MB
73 - Day 65 Feature binning/3 -Hands-on Feature binning.mp4 42.3 MB
7 - Day 5 Tools of Data Science/4 -Data visualization tools.mp4 42.0 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/17 -Creating & managing hierarchies.mp4 42.0 MB
48 - Day 42 Cross-tab analysis/1 -Cross-tab analysis.mp4 42.0 MB
112 - APPENDIX - Data Management A-Z with SQL/29 -ADD CONSTRAINT….REFERENCES adding foreign key.mp4 41.7 MB
71 - Day 63 Extracting date elements/3 -Hands-on Extracting date elements.mp4 41.7 MB
74 - Day 66 Feature mapping/1 -When to map feature.mp4 41.6 MB
44 - Day 38 Descriptive Statistics/2 -Skewness and Kurtosis.mp4 41.4 MB
68 - Day 61 Linear Regression Analysis/2 -Python for Linear regression.mp4 41.3 MB
82 - Day 73 Essential Mathematics PART 2/2 -Transpose of Matrix.mp4 41.3 MB
8 - Day 6 Data Science Methodology/1 -Step 1 - Business understanding.mp4 41.2 MB
112 - APPENDIX - Data Management A-Z with SQL/13 -AS selecting columns based on aliases.mp4 41.1 MB
19 - Day 16 Python Object & Classes/1 -Object and Classes.mp4 41.0 MB
39 - Day 34 Filtering Dataframe/2 -Python for data filtering.mp4 40.8 MB
108 - Day 97 Prompt Engineering/3 -Best practices in PE.mp4 40.6 MB
60 - Day 53 Investigating distribution/1 -Kdeplot for distribution.mp4 40.5 MB
84 - Day 75 Evaluation and Validation/2 -Overfitting & Underfitting.mp4 40.4 MB
38 - Day 33 Slicing Dataframe/2 -Python for data slicing.mp4 40.3 MB
8 - Day 6 Data Science Methodology/2 -Step 2 - Data collection.mp4 40.1 MB
112 - APPENDIX - Data Management A-Z with SQL/64 -INNER JOIN joining on common values.mp4 39.9 MB
67 - Day 60 Pearson Correlation Test/1 -Pearson correlation.mp4 39.9 MB
44 - Day 38 Descriptive Statistics/4 -Standard deviation.mp4 39.6 MB
66 - Day 59 Chi - Square test/1 -Chi square test.mp4 39.6 MB
59 - Day 52 Five-steps in Hypothesis Testing/1 -Step 1 Formulate the Hypotheses.mp4 39.4 MB
15 - Day 12 Python Dictionaries/1 -Understanding Dictionaries.mp4 39.3 MB
10 - Day 7 Python Expressions & Variables/2 -Hands-on Expressions and Variables.mp4 39.2 MB
59 - Day 52 Five-steps in Hypothesis Testing/5 -Step 5 Decision and Conclusion.mp4 39.2 MB
21 - Day 18 Reading and Writing files/1 -Reading and Writing with Pandas.mp4 38.8 MB
108 - Day 97 Prompt Engineering/1 -What is Prompt.mp4 38.7 MB
61 - Day 54 Normality Test/1 -Shapiro Wilk test.mp4 38.6 MB
8 - Day 6 Data Science Methodology/6 -Step 6 - Model deployment.mp4 38.6 MB
27 - Day 23 Understanding Statistical data/1 -Population and Sample.mp4 38.5 MB
105 - Day 94 Initialization & Gradient Descent/2 -Glorot Initialization.mp4 38.5 MB
77 - Day 69 Feature scaling/3 -Hands-on Feature scaling.mp4 38.5 MB
52 - Day 46 Histogram Visualization/2 -Python for creating histogram.mp4 38.2 MB
112 - APPENDIX - Data Management A-Z with SQL/1 -RDBMS example and importance.mp4 38.1 MB
97 - Day 87 AdaBoost Models/1 -How AdaBoost Models work.mp4 38.1 MB
53 - Day 47 Scatterplot Visualization/1 -Use cases of Scatterplot.mp4 38.0 MB
54 - Day 48 Heatmap Visualization/1 -Use cases of Heatmap.mp4 37.4 MB
112 - APPENDIX - Data Management A-Z with SQL/5 -Data types in RDBMS.mp4 37.2 MB
82 - Day 73 Essential Mathematics PART 2/1 -What is Tensor.mp4 37.0 MB
63 - Day 56 T-test Independent sample/2 -Python for Independent sample t-test.mp4 36.9 MB
112 - APPENDIX - Data Management A-Z with SQL/40 -LIKE filtering based on pattern.mp4 36.6 MB
107 - Day 96 AI Fundamentals/3 -Generative AI and Its use cases.mp4 36.6 MB
106 - Day 95 Deep Learning in Real-life/2 -Preprocessing the data.mp4 36.2 MB
82 - Day 73 Essential Mathematics PART 2/3 -Dot product and Matrix.mp4 36.1 MB
71 - Day 63 Extracting date elements/1 -Why is it important.mp4 36.1 MB
50 - Day 44 Pie Chart Visualization/1 -Use cases of pie chart.mp4 35.7 MB
112 - APPENDIX - Data Management A-Z with SQL/69 -EXISTS nested filtering between tables.mp4 35.7 MB
28 - Day 24 Probability Distributions/1 -Intro to Distributions.mp4 35.7 MB
92 - Day 82 KMeans Clustering Model/2 -Python for KMeans clustering.mp4 35.6 MB
110 - Day 99 Gen AI Chatbot Development/2 -Gemma-2-2b Model for Chatbot.mp4 35.5 MB
54 - Day 48 Heatmap Visualization/3 -Hands-on Heatmap.mp4 35.5 MB
96 - Day 86 Random Forest Classification Model/1 -How Random forest classification works.mp4 35.4 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/4 -Splitting and removing column.mp4 35.2 MB
76 - Day 68 Feature selection/1 -Why it is necessary.mp4 35.1 MB
64 - Day 57 T-test one sample/1 -One sample t-test.mp4 35.1 MB
38 - Day 33 Slicing Dataframe/3 -Hands-on Data slicing.mp4 35.0 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/13 -Understanding data modeling.mp4 34.9 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/9 -Conditional column.mp4 34.8 MB
112 - APPENDIX - Data Management A-Z with SQL/2 -Key features of RDBMS.mp4 34.4 MB
40 - Day 35 Merging Dataframes/1 -Understanding data merge.mp4 34.3 MB
53 - Day 47 Scatterplot Visualization/3 -Hands-on Scatterplot.mp4 34.3 MB
52 - Day 46 Histogram Visualization/1 -Use case of Histogram.mp4 34.2 MB
51 - Day 45 Line Chart Visualization/1 -Use cases of line chart.mp4 34.2 MB
30 - Day 26 Probability Distributions - Continuous/1 -Normal distribution.mp4 33.3 MB
112 - APPENDIX - Data Management A-Z with SQL/23 -CHECK limiting specific values in columns.mp4 33.2 MB
89 - Day 79 Dealing with overfitting - Method 2/3 -Hands-on Model regularization.mp4 33.0 MB
29 - Day 25 Probability Distributions - Discrete/3 -Binomial distribution.mp4 33.0 MB
72 - Day 64 Feature encoding/1 -When to encode feature.mp4 33.0 MB
65 - Day 58 Analysis of Variance/2 -Python for Analysis of Variance.mp4 32.9 MB
87 - Day 77 Logistic Regression Model/3 -Hands-on Logistic Regression.mp4 32.9 MB
35 - Day 30 Dealing with Inconsistencies/1 -What is Inconsistent value.mp4 32.9 MB
78 - Day 70 Dimensionality reduction/3 -Hands-on Dimensionality reduction.mp4 32.3 MB
105 - Day 94 Initialization & Gradient Descent/1 -What is Initialization.mp4 32.2 MB
33 - Day 28 Imputing Missing Values/3 -Hands-on Imputing missing values.mp4 32.1 MB
33 - Day 28 Imputing Missing Values/2 -Python for missing value imputation.mp4 32.1 MB
51 - Day 45 Line Chart Visualization/2 -Python for creating line chart.mp4 32.1 MB
102 - Day 92 Hyper-parameter Tuning/2 -Python for Hyperparameter tuning.mp4 32.1 MB
34 - Day 29 Dataframe's Data Types/1 -Dataframe's data types.mp4 32.1 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/14 -Creating data model in Power BI.mp4 31.8 MB
112 - APPENDIX - Data Management A-Z with SQL/9 -Modifying database.mp4 31.6 MB
79 - Day 71 Splitting Dataset/1 -Why it is necessary.mp4 31.5 MB
60 - Day 53 Investigating distribution/3 -Hands-on Kdeplot.mp4 31.3 MB
112 - APPENDIX - Data Management A-Z with SQL/70 -ANY nested filtering between tables.mp4 31.2 MB
110 - Day 99 Gen AI Chatbot Development/1 -Project overview.mp4 30.9 MB
65 - Day 58 Analysis of Variance/1 -Analysis of Variance.mp4 30.8 MB
15 - Day 12 Python Dictionaries/2 -Hands-on Dictionaries.mp4 30.8 MB
63 - Day 56 T-test Independent sample/1 -Independent sample t-test.mp4 30.7 MB
23 - Day 19 Getting started with Probability/1 -What is probability.mp4 30.5 MB
26 - Day 22 The law of Probability/1 -The additive rule.mp4 30.4 MB
88 - Day 78 Dealing with overfitting - Method 1/3 -Hands-on k-fold cross validation.mp4 30.3 MB
112 - APPENDIX - Data Management A-Z with SQL/28 -ADD CONSTRAINT adding primary key.mp4 30.3 MB
94 - Day 84 Decision Tree Classification Model/3 -Hands-on Decision tree classification.mp4 30.2 MB
14 - Day 11 Python Set operators/2 -Hands-on Set operators.mp4 30.1 MB
44 - Day 38 Descriptive Statistics/3 -Variance and Covariance.mp4 30.0 MB
112 - APPENDIX - Data Management A-Z with SQL/71 -CASE finding the conditional outcomes.mp4 29.7 MB
69 - ------- Phase 7 Feature Engineering & Data Preprocessing -------/1 -Notes Phase 7 Day 62-71.zip 29.7 MB
44 - Day 38 Descriptive Statistics/1 -Mean, Median and Mode.mp4 29.7 MB
55 - Day 49 Box-plot Visualization/2 -Python for creating Box-plot.mp4 29.6 MB
95 - Day 85 Random Forest Regression Model/3 -Hands-on Random forest regression.mp4 29.6 MB
112 - APPENDIX - Data Management A-Z with SQL/59 -DATEFORMAT formatting the date shape.mp4 29.6 MB
21 - Day 18 Reading and Writing files/3 -Reading and Writing JASON & XML.mp4 29.0 MB
63 - Day 56 T-test Independent sample/3 -Hands-on Independent sample t-test.mp4 29.0 MB
87 - Day 77 Logistic Regression Model/2 -Python for logistic regression.mp4 28.9 MB
70 - Day 62 Generating new features/2 -Python for generating new features.mp4 28.8 MB
105 - Day 94 Initialization & Gradient Descent/3 -Stochastic Gradient Descent.mp4 28.6 MB
109 - Day 98 Gen AI Text-to-Image Development/4 -Developing Gen AI Text to Image Model.mp4 28.5 MB
24 - Day 20 Combinatorics in Probability/3 -Factorials operations.mp4 28.4 MB
24 - Day 20 Combinatorics in Probability/2 -Permutations.mp4 28.4 MB
29 - Day 25 Probability Distributions - Discrete/1 -Uniform distribution.mp4 28.1 MB
112 - APPENDIX - Data Management A-Z with SQL/62 -ORDER BY sorting data based on a column.mp4 28.0 MB
26 - Day 22 The law of Probability/2 -The multiplication law.mp4 27.9 MB
53 - Day 47 Scatterplot Visualization/2 -Python for creating Scatterplot.mp4 27.8 MB
79 - Day 71 Splitting Dataset/3 -Hands-on Train-test set.mp4 27.7 MB
51 - Day 45 Line Chart Visualization/3 -Hands-on Line chart.mp4 27.3 MB
11 - Day 8 Python Data Types/2 -Hands-on Data Types.mp4 27.1 MB
73 - Day 65 Feature binning/2 -Python for binning feature.mp4 27.1 MB
79 - Day 71 Splitting Dataset/2 -Python for train-test set.mp4 27.1 MB
25 - Day 21 Bayesian Inference/2 -Set dependencies.mp4 27.1 MB
110 - Day 99 Gen AI Chatbot Development/3 -Llama-2-7b Model for Chatbot.mp4 27.1 MB
8 - Day 6 Data Science Methodology/3 -Step 3 - Data preparation.mp4 27.0 MB
52 - Day 46 Histogram Visualization/3 -Hands-on Histogram.mp4 26.9 MB
23 - Day 19 Getting started with Probability/3 -Frequency in probability.mp4 26.9 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/2 -Adjusting table and column names.mp4 26.7 MB
35 - Day 30 Dealing with Inconsistencies/2 -Python for dealing inconsistencies.mp4 26.6 MB
40 - Day 35 Merging Dataframes/3 -Hands-on Merging dataframes.mp4 26.6 MB
28 - Day 24 Probability Distributions/2 -Discrete distributions.mp4 26.5 MB
43 - Day 37 Frequency & Percentage Analysis/3 -Hands-on Frequency & Percentage.mp4 26.5 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/10 -Grouping and aggregating.mp4 26.4 MB
112 - APPENDIX - Data Management A-Z with SQL/57 -ROUND decreasing the decimals.mp4 26.1 MB
64 - Day 57 T-test one sample/2 -Python for One sample t-test.mp4 26.0 MB
23 - Day 19 Getting started with Probability/4 -Complements in probability.mp4 26.0 MB
46 - Day 40 Group-by data analysis/3 -Hands-on Group-by analysis.mp4 25.9 MB
29 - Day 25 Probability Distributions - Discrete/4 -Poisson distribution.mp4 25.9 MB
112 - APPENDIX - Data Management A-Z with SQL/44 -CONCAT adding different strings together.mp4 25.8 MB
112 - APPENDIX - Data Management A-Z with SQL/65 -LEFT JOIN joining on left table values.mp4 25.6 MB
11 - Day 8 Python Data Types/1 -Understanding Data Types.mp4 25.6 MB
91 - Day 81 Solving imbalanced data - Method 2/3 -Hands-on Undersampling methods.mp4 25.6 MB
112 - APPENDIX - Data Management A-Z with SQL/37 -OR flexible logical operator.mp4 25.5 MB
112 - APPENDIX - Data Management A-Z with SQL/15 -CREATE creating table.mp4 25.3 MB
112 - APPENDIX - Data Management A-Z with SQL/43 -CHAR_LENGTH finding the length of text.mp4 25.0 MB
109 - Day 98 Gen AI Text-to-Image Development/1 -Project overview.mp4 24.9 MB
103 - ------- Phase 10 Deep Learning & Artificial Intelligence -------/1 -Notes Phase 10 day 93 - 99.zip 24.9 MB
10 - Day 7 Python Expressions & Variables/1 -Expressions and Variables.mp4 24.6 MB
25 - Day 21 Bayesian Inference/1 -Mutually exclusive sets.mp4 24.5 MB
112 - APPENDIX - Data Management A-Z with SQL/4 -Types of relationship in RDBMS.mp4 24.5 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/3 -Setting correct data types.mp4 24.3 MB
25 - Day 21 Bayesian Inference/3 -Conditional probability.mp4 24.3 MB
46 - Day 40 Group-by data analysis/1 -Group-by data analysis.mp4 24.2 MB
112 - APPENDIX - Data Management A-Z with SQL/17 -UNIQUE limiting duplicates.mp4 24.2 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/12 -Concatenating datasets.mp4 24.1 MB
47 - Day 41 PIVOT table analysis/1 -PIVOT table analysis.mp4 24.0 MB
6 - Day 4 The role of Data in Data Science/3 -Real - life examples of Big data.mp4 24.0 MB
6 - Day 4 The role of Data in Data Science/2 -Working with Big Data.mp4 24.0 MB
29 - Day 25 Probability Distributions - Discrete/2 -Bernoulli distribution.mp4 23.9 MB
112 - APPENDIX - Data Management A-Z with SQL/53 -DIV dividing numeric data.mp4 23.8 MB
112 - APPENDIX - Data Management A-Z with SQL/56 -POWER multiple multiplications.mp4 23.8 MB
66 - Day 59 Chi - Square test/2 -Python for Chi square test.mp4 23.7 MB
112 - APPENDIX - Data Management A-Z with SQL/36 -AND combining two or more conditions.mp4 23.7 MB
1 - IMPORTANT Messages for you!/2 -How to take the classes.mp4 23.6 MB
40 - Day 35 Merging Dataframes/2 -Python for merging data.mp4 23.5 MB
39 - Day 34 Filtering Dataframe/1 -Methods of Data filtering.mp4 23.5 MB
112 - APPENDIX - Data Management A-Z with SQL/34 -IS NULL filtering the actual values out.mp4 23.5 MB
112 - APPENDIX - Data Management A-Z with SQL/39 -BETWEEN...AND filtering ranges of values.mp4 23.4 MB
33 - Day 28 Imputing Missing Values/1 -Understanding Imputation.mp4 23.3 MB
93 - Day 83 Decision Tree Regression Model/3 -Hands-on Decision tree regression.mp4 23.2 MB
86 - Day 76 Linear Regression Model/2 -Python for Linear regression model.mp4 23.1 MB
109 - Day 98 Gen AI Text-to-Image Development/2 -Diffusers - Stable Diffusion Pipeline.mp4 22.9 MB
36 - Day 31 Dealing with Duplicates/1 -Understanding duplicates.mp4 22.8 MB
112 - APPENDIX - Data Management A-Z with SQL/3 -Primary key vs Foreign key.mp4 22.7 MB
112 - APPENDIX - Data Management A-Z with SQL/18 -INSERT INTO adding values in columns.mp4 22.6 MB
108 - Day 97 Prompt Engineering/4 -Interview pattern of PE.mp4 22.6 MB
112 - APPENDIX - Data Management A-Z with SQL/49 -ABS negative to positive value.mp4 22.5 MB
112 - APPENDIX - Data Management A-Z with SQL/14 -WHERE selecting data based on condition.mp4 22.4 MB
61 - Day 54 Normality Test/2 -Python for Shapiro Wilk test.mp4 22.4 MB
32 - Day 27 Define Missing values/1 -Understanding Missing values.mp4 22.4 MB
43 - Day 37 Frequency & Percentage Analysis/1 -Understanding Frequency & Percentage.mp4 22.3 MB
27 - Day 23 Understanding Statistical data/2 -Types of Statistical data.mp4 22.3 MB
70 - Day 62 Generating new features/3 -Hands-on Generating new features.mp4 22.2 MB
112 - APPENDIX - Data Management A-Z with SQL/16 -NOT NULL limiting null values.mp4 22.2 MB
86 - Day 76 Linear Regression Model/3 -Hands-on Linear regression model.mp4 21.9 MB
112 - APPENDIX - Data Management A-Z with SQL/66 -RIGHT JOIN joining on right table values.mp4 21.9 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/15 -Managing & editing data models.mp4 21.7 MB
112 - APPENDIX - Data Management A-Z with SQL/19 -UPDATE updating values based on condition.mp4 21.6 MB
112 - APPENDIX - Data Management A-Z with SQL/67 -CROSS JOIN joining all values from tables.mp4 21.5 MB
109 - Day 98 Gen AI Text-to-Image Development/3 -runwaymlstable-diffusion-v1-5.mp4 21.3 MB
90 - Day 80 Solving imbalanced data - Method 1/3 -Hands-on oversampling methods.mp4 21.3 MB
54 - Day 48 Heatmap Visualization/2 -Python for creating Heatmap.mp4 21.1 MB
112 - APPENDIX - Data Management A-Z with SQL/12 -DISTINCT selecting unique values for column.mp4 20.9 MB
88 - Day 78 Dealing with overfitting - Method 1/2 -Python for cross-validation.mp4 20.7 MB
112 - APPENDIX - Data Management A-Z with SQL/26 -RENAME COLUMN changing column names.mp4 20.5 MB
38 - Day 33 Slicing Dataframe/1 -Understanding slicing.mp4 20.4 MB
75 - Day 67 Generating dummies/3 -hands-on Generating dummies.mp4 20.1 MB
112 - APPENDIX - Data Management A-Z with SQL/48 -REPLACE replacing old value by new value.mp4 20.0 MB
112 - APPENDIX - Data Management A-Z with SQL/38 -NOT excluding values from filteration.mp4 20.0 MB
97 - Day 87 AdaBoost Models/2 -Python for AdaBoost Models.mp4 19.9 MB
112 - APPENDIX - Data Management A-Z with SQL/11 -SELECT....FROM select data from table.mp4 19.8 MB
64 - Day 57 T-test one sample/3 -Hands-on One sample t-test.mp4 19.7 MB
37 - Day 32 Sorting data order/1 -What is data sorting.mp4 19.6 MB
112 - APPENDIX - Data Management A-Z with SQL/58 -SQRT and LOG transformation functions.mp4 19.5 MB
24 - Day 20 Combinatorics in Probability/4 -Combinations.mp4 19.4 MB
67 - Day 60 Pearson Correlation Test/2 -Python for Pearson correlation.mp4 19.1 MB
96 - Day 86 Random Forest Classification Model/3 -Hands-on Random forest classification.mp4 19.1 MB
48 - Day 42 Cross-tab analysis/3 -Hands-on Cross-tab analysis.mp4 19.1 MB
74 - Day 66 Feature mapping/3 -Hands-on Feature mapping.mp4 19.0 MB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/5 -Replacing values in a column.mp4 18.9 MB
112 - APPENDIX - Data Management A-Z with SQL/10 -Deleting database.mp4 18.8 MB
37 - Day 32 Sorting data order/3 -Hands-on Sorting data.mp4 18.8 MB
50 - Day 44 Pie Chart Visualization/3 -Hands-on Pie chart.mp4 18.7 MB
112 - APPENDIX - Data Management A-Z with SQL/31 -CREATE INDEX creating new index.mp4 18.7 MB
35 - Day 30 Dealing with Inconsistencies/3 -Hands-on Working with inconsistencies.mp4 18.6 MB
55 - Day 49 Box-plot Visualization/3 -Hands-on Box-plot.mp4 18.4 MB
41 - Day 36 Concatenating Dataframes/1 -Understanding concatenation.mp4 18.3 MB
100 - Day 90 LightGBM Models/2 -Python for LightGBM Models.mp4 18.2 MB
77 - Day 69 Feature scaling/2 -Python for scaling features.mp4 18.1 MB
61 - Day 54 Normality Test/3 -Hands-on Shapiro Wilk test.mp4 17.9 MB
112 - APPENDIX - Data Management A-Z with SQL/41 -IN precise logic for multiple conditions.mp4 17.5 MB
85 - ------- Phase 9 Hands-on Machine Learning [A - Z] -------/1 -Notes Phase 9 Day 76-92.zip 17.2 MB
112 - APPENDIX - Data Management A-Z with SQL/47 -TRIM removing unnecessary gaps.mp4 16.8 MB
112 - APPENDIX - Data Management A-Z with SQL/32 -CREATE UNIQUE INDEX creating index without duplicates.mp4 16.6 MB
46 - Day 40 Group-by data analysis/2 -Python for group-by analysis.mp4 16.6 MB
50 - Day 44 Pie Chart Visualization/2 -Python for creating pie chart.mp4 16.6 MB
112 - APPENDIX - Data Management A-Z with SQL/35 -IS NOT NULL filtering the missing values out.mp4 16.5 MB
112 - APPENDIX - Data Management A-Z with SQL/20 -DELETE deleting values based on condition.mp4 16.5 MB
37 - Day 32 Sorting data order/2 -Python for sorting data.mp4 16.5 MB
75 - Day 67 Generating dummies/2 -Python for generating dummies.mp4 16.2 MB
112 - APPENDIX - Data Management A-Z with SQL/42 -LIMIT filtering with limited data.mp4 16.2 MB
71 - Day 63 Extracting date elements/2 -Python for extracting date elements.mp4 16.0 MB
112 - APPENDIX - Data Management A-Z with SQL/24 -ADD COLUMN adding new column.mp4 15.9 MB
112 - APPENDIX - Data Management A-Z with SQL/45 -LOWER converting into lowercase.mp4 15.7 MB
1 - IMPORTANT Messages for you!/1 -Don't skip, Start from here!.mp4 15.2 MB
112 - APPENDIX - Data Management A-Z with SQL/52 -COUNT counting total items.mp4 15.2 MB
27 - Day 23 Understanding Statistical data/3 -Level of Measurement.mp4 15.0 MB
72 - Day 64 Feature encoding/3 -Hands-on Feature encoding.mp4 14.9 MB
112 - APPENDIX - Data Management A-Z with SQL/25 -MODIFY COLUMN replacing data types.mp4 14.8 MB
2 - ------- Phase 1 The world of Data Science -------/1 -Notes Phase-1 Day 1-6.zip 14.8 MB
112 - APPENDIX - Data Management A-Z with SQL/60 -DATEDIFF finding the date difference.mp4 14.7 MB
22 - ------- Phase 3 Probability and Distribution -------/1 -Notes Phase 3 Day 19-26.zip 14.6 MB
112 - APPENDIX - Data Management A-Z with SQL/61 -DAYMONTHYEAR extracting parts of dates.mp4 14.3 MB
32 - Day 27 Define Missing values/2 -Python for missing value identification.mp4 14.1 MB
72 - Day 64 Feature encoding/2 -Python for encoding feature.mp4 14.1 MB
95 - Day 85 Random Forest Regression Model/2 -Python for Random forest regression.mp4 13.9 MB
99 - Day 89 CatBoost Models/2 -Python for CatBoost Models.mp4 13.8 MB
112 - APPENDIX - Data Management A-Z with SQL/50 -SUM calculating the total value.mp4 13.8 MB
98 - Day 88 Traditional GBM Model/2 -Python for Traditional GBM Model.mp4 13.6 MB
66 - Day 59 Chi - Square test/3 -Hands-on Chi square test.mp4 13.1 MB
93 - Day 83 Decision Tree Regression Model/2 -Python for decision tree regression.mp4 12.7 MB
36 - Day 31 Dealing with Duplicates/2 -Python for dealing duplicates.mp4 12.6 MB
36 - Day 31 Dealing with Duplicates/3 -Hands-on Working with duplicates.mp4 12.6 MB
112 - APPENDIX - Data Management A-Z with SQL/51 -AVG calculating the average value.mp4 12.3 MB
32 - Day 27 Define Missing values/3 -Hands-on Missing value identification.mp4 12.2 MB
89 - Day 79 Dealing with overfitting - Method 2/2 -Python for regularization.mp4 11.9 MB
106 - Day 95 Deep Learning in Real-life/4 -Model evaluation.mp4 11.8 MB
112 - APPENDIX - Data Management A-Z with SQL/46 -UPPER converting into uppercase.mp4 11.4 MB
91 - Day 81 Solving imbalanced data - Method 2/2 -Python for undersampling methods.mp4 11.3 MB
112 - APPENDIX - Data Management A-Z with SQL/27 -DROP COLUMN deleting columns.mp4 11.0 MB
94 - Day 84 Decision Tree Classification Model/2 -Python for Decision tree classification.mp4 11.0 MB
96 - Day 86 Random Forest Classification Model/2 -Python for Random forest classification.mp4 10.9 MB
112 - APPENDIX - Data Management A-Z with SQL/7 -Creating database.mp4 10.7 MB
112 - APPENDIX - Data Management A-Z with SQL/33 -DROP INDEX deleting existing index.mp4 10.6 MB
43 - Day 37 Frequency & Percentage Analysis/2 -Python for frequency-percentage analysis.mp4 10.4 MB
112 - APPENDIX - Data Management A-Z with SQL/54 -MIN finding the lowest value.mp4 10.3 MB
112 - APPENDIX - Data Management A-Z with SQL/21 -TRUNCATE deleting all the values except table.mp4 10.1 MB
112 - APPENDIX - Data Management A-Z with SQL/55 -MAX finding the highest value.mp4 9.9 MB
48 - Day 42 Cross-tab analysis/2 -Python for Cross-tab analysis.mp4 9.7 MB
112 - APPENDIX - Data Management A-Z with SQL/30 -DROP CONSTRAINT deleting keys.mp4 9.5 MB
101 - Day 91 XGBoost Models/2 -Python for XGBoost Models.mp4 9.3 MB
112 - APPENDIX - Data Management A-Z with SQL/22 -DROP removing entire table.mp4 9.1 MB
34 - Day 29 Dataframe's Data Types/2 -Python for casting data types.mp4 8.6 MB
42 - ------- Phase 5 EDA and Data Visualizations -------/1 -Notes Phase 5 Day 37-49.zip 8.5 MB
41 - Day 36 Concatenating Dataframes/2 -Python for concatenation.mp4 8.5 MB
112 - APPENDIX - Data Management A-Z with SQL/8 -Selecting database.mp4 7.6 MB
90 - Day 80 Solving imbalanced data - Method 1/2 -Python for oversampling methods.mp4 7.5 MB
76 - Day 68 Feature selection/2 -Python for Feature selection.mp4 7.3 MB
74 - Day 66 Feature mapping/2 -Python for mapping feature.mp4 7.2 MB
45 - Day 39 Python Descriptive Analysis/1 -Python for descriptive analysis.mp4 4.6 MB
31 - ------- Phase 4 Data cleaning & Manipulation -------/1 -Notes Phase 4 Day 27-36.zip 3.4 MB
80 - ------- Phase 8 Machine Learning [Prerequisite] -------/1 -Notes Phase 8 Day 72-75.zip 2.8 MB
85 - ------- Phase 9 Hands-on Machine Learning [A - Z] -------/1 -Datasets Phase 9 Day 78-81 and Day 87-92.zip 2.6 MB
31 - ------- Phase 4 Data cleaning & Manipulation -------/1 -Datasets Phase 4-9 Day 27-77.zip 474.0 KB
18 - Day 15 Python Functions/2 -Hands-on Lab - Developing Functions.ipynb 436.6 KB
20 - Day 17 Python Web Scrapping/3 -Hands - on Lab - Web Scrapping with BeautifulSoup and Pandas.ipynb 323.1 KB
109 - Day 98 Gen AI Text-to-Image Development/5 -Gen_AI_Text_to_Image.ipynb 264.0 KB
110 - Day 99 Gen AI Chatbot Development/5 -Chatbot_with_Meta_Llm.ipynb 175.4 KB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/1 -Datasets+for+dashboards.zip 35.9 KB
91 - Day 81 Solving imbalanced data - Method 2/3 -Tomek_Links.ipynb 25.9 KB
97 - Day 87 AdaBoost Models/3 -Adaboost_ML_Models.ipynb 25.7 KB
90 - Day 80 Solving imbalanced data - Method 1/3 -SMOTE.ipynb 24.9 KB
12 - Day 9 Python String Operators/2 -Hands-on - Various String Operators.ipynb 20.8 KB
113 - APPENDIX - Business Intelligence A-Z with PowerBI/1 -Datasets+for+data+manipulation.zip 19.9 KB
12 - Day 9 Python String Operators/3 -Starting+with+Variables+to+Data+Types.ipynb 12.8 KB
9 - ------- Phase 2 Python for Data Science -------/1 -Datasets Phase 2 Day 7-18.zip 12.1 KB
114 - Your Next Steps for Career/1 - Develop your portfolio.html 9.2 KB
106 - Day 95 Deep Learning in Real-life/4 -Tensorflow_model.ipynb 8.8 KB
99 - Day 89 CatBoost Models/3 -CatBoost_ML_Models.ipynb 8.5 KB
114 - Your Next Steps for Career/1 - Get your first job!.html 8.2 KB
21 - Day 18 Reading and Writing files/2 -Hands-on Lab - Reading and Writing with Pandas.ipynb 8.1 KB
102 - Day 92 Hyper-parameter Tuning/3 -HyperParam_XGBoost_ML_Models.ipynb 7.8 KB
100 - Day 90 LightGBM Models/3 -LightGBM_ML_Models.ipynb 6.9 KB
101 - Day 91 XGBoost Models/3 -XGBoost_ML_Models.ipynb 6.1 KB
19 - Day 16 Python Object & Classes/2 -Hands-on Lab - Developing Function with Class and Object.ipynb 5.4 KB
98 - Day 88 Traditional GBM Model/3 -Trad_GBM_ML_Models.ipynb 5.3 KB
13 - Day 10 Python Tuples and Lists/2 -Hands-on Lab - Working with Tuples and Lists.ipynb 5.2 KB
16 - Day 13 Python Conditionals/2 -Hands-on Lab - Conditional and Branching.ipynb 4.5 KB
17 - Day 14 Python Iteratives/2 -Hands-on Lab - Working with Loop.ipynb 4.4 KB
14 - Day 11 Python Set operators/2 -Hands-on Lab - Working with Set.ipynb 4.3 KB
10 - Day 7 Python Expressions & Variables/2 -Hands-on Lab - Expressions and Variables.ipynb 4.1 KB
89 - Day 79 Dealing with overfitting - Method 2/3 -L1_and_L2_Regularaziation.ipynb 4.1 KB
15 - Day 12 Python Dictionaries/2 -Hands-on Lab - Working with Dictionaries.ipynb 3.6 KB
11 - Day 8 Python Data Types/2 -Hands-on Lab - Python Data Types.ipynb 3.6 KB
21 - Day 18 Reading and Writing files/4 -Hands-on Lab - Reading JSON & XML file.ipynb 3.0 KB
1 - IMPORTANT Messages for you!/3 - Something Extra for you!.html 2.1 KB
88 - Day 78 Dealing with overfitting - Method 1/3 -K_fold_ceoss_validation.ipynb 2.1 KB
9 - ------- Phase 2 Python for Data Science -------/1 - Installing Python & Jupyter notebook.html 870 bytes
113 - APPENDIX - Business Intelligence A-Z with PowerBI/1 - Important setting to Power BI.html 760 bytes
113 - APPENDIX - Business Intelligence A-Z with PowerBI/1 - Downloading Power BI desktop.html 499 bytes
112 - APPENDIX - Data Management A-Z with SQL/6 - Installing MySQL in Windows and Mac.html 412 bytes
31 - ------- Phase 4 Data cleaning & Manipulation -------/1 - Datasets for Phase 4 to 9.html 412 bytes
85 - ------- Phase 9 Hands-on Machine Learning [A - Z] -------/1 - Practice datasets used for this phase.html 352 bytes
9 - ------- Phase 2 Python for Data Science -------/1 - Datasets used in this phase.html 325 bytes
9 - ------- Phase 2 Python for Data Science -------/1 - Notes on Python for data science.html 246 bytes
2 - ------- Phase 1 The world of Data Science -------/1 - Notes on Data Science World!.html 194 bytes
103 - ------- Phase 10 Deep Learning & Artificial Intelligence -------/1 - Notes on Deep learning.html 193 bytes
22 - ------- Phase 3 Probability and Distribution -------/1 - Notes on Probability & Distribution.html 193 bytes
31 - ------- Phase 4 Data cleaning & Manipulation -------/1 - Notes on Data cleaning.html 193 bytes
42 - ------- Phase 5 EDA and Data Visualizations -------/1 - Notes on Exploratory data analysis.html 193 bytes
56 - ------- Phase 6 Inferential Statistics & Statistical Modeling -------/1 - Notes on Inferential statistics.html 193 bytes
69 - ------- Phase 7 Feature Engineering & Data Preprocessing -------/1 - Notes on Feature engineering.html 193 bytes
80 - ------- Phase 8 Machine Learning [Prerequisite] -------/1 - Notes on Machine Learning.html 193 bytes
85 - ------- Phase 9 Hands-on Machine Learning [A - Z] -------/1 - Notes on Machine learning.html 193 bytes
42 - ------- Phase 5 EDA and Data Visualizations -------/1 - Dataset used in this phase.html 141 bytes
69 - ------- Phase 7 Feature Engineering & Data Preprocessing -------/1 - Datasets for this phase.html 141 bytes
113 - APPENDIX - Business Intelligence A-Z with PowerBI/1 - Download datasets.html 95 bytes
12 - Day 9 Python String Operators/3 - Starting with Variables to Data Types.html 83 bytes

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