[GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization

Creation Time	Sept. 17, 2023, 1:24 p.m.
Last Access Time	Sept. 19, 2026, 8:10 p.m.
File Size	3.2 GB
Keywords	and Visualization for Python GLODLS - Analysis UDEMY Learning Tutorials Data
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Section 10 Machine Learning/009 Logistic Regression Part 4.mp4 97.9 MB
Section 9 Example Projects/012 Data Project - Stock Market Analysis Part 5.mp4 94.0 MB
Section 10 Machine Learning/013 Support Vector Machines - Part 2.mp4 85.8 MB
Section 12 Appendix B Statistics Overview/009 Hypothesis Testing and Confidence Intervals.mp4 78.9 MB
Section 10 Machine Learning/005 Linear Regression Part 4.mp4 78.6 MB
Section 10 Machine Learning/011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 73.5 MB
Section 10 Machine Learning/006 Logistic Regression Part 1.mp4 71.8 MB
Section 10 Machine Learning/004 Linear Regression Part 3.mp4 68.9 MB
Section 10 Machine Learning/010 Multi Class Classification Part 1 - Logistic Regression.mp4 67.9 MB
Section 9 Example Projects/017 Data Project - Election Analysis Part 4.mp4 65.7 MB
Section 10 Machine Learning/015 Naive Bayes Part 2.mp4 65.5 MB
Section 10 Machine Learning/012 Support Vector Machines Part 1.mp4 64.9 MB
Section 2 Setup/001 Installation Setup and Overview.mp4 62.0 MB
Section 8 Data Visualization/003 Kernel Density Estimate Plots.mp4 61.9 MB
Section 10 Machine Learning/002 Linear Regression Part 1.mp4 58.7 MB
Section 9 Example Projects/009 Data Project - Stock Market Analysis Part 2.mp4 56.8 MB
Section 9 Example Projects/015 Data Project - Election Analysis Part 2.mp4 56.4 MB
Section 4 Intro to Pandas/002 DataFrames.mp4 52.9 MB
Section 10 Machine Learning/003 Linear Regression Part 2.mp4 52.5 MB
Section 10 Machine Learning/007 Logistic Regression Part 2.mp4 51.8 MB
Section 10 Machine Learning/001 Introduction to Machine Learning with SciKit Learn.mp4 46.2 MB
Section 4 Intro to Pandas/009 Summary Statistics.mp4 46.1 MB
Section 9 Example Projects/014 Data Project - Election Analysis Part 1.mp4 44.6 MB
Section 14 Appendix D Web Scraping with Python/002 Web Scraping Part 2.mp4 43.8 MB
Section 7 Working with Data Part 3/003 Aggregation.mp4 43.8 MB
Section 13 Appendix C SQL and Python/001 Introduction to SQL with Python.mp4 43.8 MB
Section 9 Example Projects/003 Titanic Project - Part 1.mp4 43.3 MB
Section 12 Appendix B Statistics Overview/004 Binomial Distribution.mp4 41.7 MB
Section 3 Learning Numpy/006 Array Processing.mp4 41.0 MB
Section 12 Appendix B Statistics Overview/005 Poisson Distribution.mp4 40.2 MB
Section 9 Example Projects/010 Data Project - Stock Market Analysis Part 3.mp4 40.0 MB
Section 10 Machine Learning/008 Logistic Regression Part 3.mp4 39.7 MB
Section 9 Example Projects/016 Data Project - Election Analysis Part 3.mp4 39.1 MB
Section 8 Data Visualization/007 Heatmaps and Clustered Matrices.mp4 39.1 MB
Section 9 Example Projects/004 Titanic Project - Part 2.mp4 38.9 MB
Section 14 Appendix D Web Scraping with Python/001 Web Scraping Part 1.mp4 37.3 MB
Section 12 Appendix B Statistics Overview/011 Bayes Theorem.mp4 36.8 MB
Section 6 Working with Data Part 2/001 Merge.mp4 36.3 MB
Section 7 Working with Data Part 3/001 GroupBy on DataFrames.mp4 36.3 MB
Section 10 Machine Learning/014 Naive Bayes Part 1.mp4 35.7 MB
Section 9 Example Projects/005 Titanic Project - Part 3.mp4 35.1 MB
Section 8 Data Visualization/006 Regression Plots.mp4 34.8 MB
Section 11 Appendix A Python Overview/002 Python Overview Part 1.mp4 34.5 MB
Section 9 Example Projects/007 Intro to Data Project - Stock Market Analysis.mp4 32.8 MB
Section 9 Example Projects/008 Data Project - Stock Market Analysis Part 1.mp4 32.4 MB
Section 13 Appendix C SQL and Python/002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 32.3 MB
Section 4 Intro to Pandas/004 Reindex.mp4 32.3 MB
Section 13 Appendix C SQL and Python/003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 28.1 MB
Section 11 Appendix A Python Overview/001 Intro to Resources for Learning Python.mp4 27.0 MB
Section 3 Learning Numpy/003 Indexing Arrays.mp4 26.2 MB
Section 9 Example Projects/011 Data Project - Stock Market Analysis Part 4.mp4 25.9 MB
Section 9 Example Projects/001 Data Projects Preview.mp4 25.8 MB
Section 6 Working with Data Part 2/002 Merge on Index.mp4 25.2 MB
Section 12 Appendix B Statistics Overview/003 Continuous Uniform Distribution.mp4 25.2 MB
Section 5 Working with Data Part 1/001 Reading and Writing Text Files.mp4 24.8 MB
Section 4 Intro to Pandas/001 Series.mp4 24.7 MB
Section 4 Intro to Pandas/011 Index Hierarchy.mp4 24.0 MB
Section 7 Working with Data Part 3/002 GroupBy on Dict and Series.mp4 23.3 MB
Section 7 Working with Data Part 3/004 Splitting Applying and Combining.mp4 22.2 MB
Section 12 Appendix B Statistics Overview/007 Sampling Techniques.mp4 22.0 MB
Section 11 Appendix A Python Overview/003 Python Overview Part 2.mp4 21.9 MB
Section 12 Appendix B Statistics Overview/002 Discrete Uniform Distribution.mp4 21.8 MB
Section 6 Working with Data Part 2/003 Concatenate.mp4 21.1 MB
Section 8 Data Visualization/002 Histograms.mp4 20.3 MB
Section 11 Appendix A Python Overview/004 Python Overview Part 3.mp4 19.9 MB
Section 6 Working with Data Part 2/004 Combining DataFrames.mp4 19.9 MB
Section 12 Appendix B Statistics Overview/006 Normal Distribution.mp4 19.4 MB
Section 4 Intro to Pandas/010 Missing Data.mp4 18.9 MB
Section 9 Example Projects/002 Intro to Data Projects.mp4 18.7 MB
Section 8 Data Visualization/005 Box and Violin Plots.mp4 18.3 MB
Section 4 Intro to Pandas/006 Selecting Entries.mp4 18.1 MB
Section 6 Working with Data Part 2/006 Pivoting.mp4 18.0 MB
Section 4 Intro to Pandas/007 Data Alignment.mp4 17.7 MB
Section 12 Appendix B Statistics Overview/008 T-Distribution.mp4 16.4 MB
Section 6 Working with Data Part 2/012 Outliers.mp4 16.2 MB
Section 12 Appendix B Statistics Overview/010 Chi Square Test and Distribution.mp4 15.7 MB
Section 3 Learning Numpy/005 Universal Array Function.mp4 14.9 MB
Section 9 Example Projects/013 Data Project - Intro to Election Analysis.mp4 14.9 MB
Section 6 Working with Data Part 2/005 Reshaping.mp4 14.4 MB
Section 3 Learning Numpy/007 Array Input and Output.mp4 14.0 MB
Section 5 Working with Data Part 1/003 HTML with Python.mp4 13.5 MB
Section 3 Learning Numpy/001 Creating arrays.mp4 13.1 MB
Section 6 Working with Data Part 2/011 Binning.mp4 13.0 MB
Section 8 Data Visualization/004 Combining Plot Styles.mp4 11.6 MB
Section 1 Intro to Course and Python/001 Course Intro.mp4 11.5 MB
Section 6 Working with Data Part 2/007 Duplicates in DataFrames.mp4 11.1 MB
Section 6 Working with Data Part 2/010 Rename Index.mp4 10.1 MB
Section 4 Intro to Pandas/008 Rank and Sort.mp4 9.5 MB
Section 4 Intro to Pandas/005 Drop Entry.mp4 9.2 MB
Section 4 Intro to Pandas/003 Index objects.mp4 9.2 MB
Section 5 Working with Data Part 1/002 JSON with Python.mp4 9.0 MB
Section 2 Setup/002 iPython Notebook Overview.mp4 8.9 MB
Section 7 Working with Data Part 3/005 Cross Tabulation.mp4 8.8 MB
Section 6 Working with Data Part 2/013 Permutation.mp4 8.7 MB
Section 2 Setup/003 Course Environment Overview.mp4 8.3 MB
Section 3 Learning Numpy/002 Using arrays and scalars.mp4 7.9 MB
Section 6 Working with Data Part 2/008 Mapping.mp4 7.8 MB
Section 5 Working with Data Part 1/004 Microsoft Excel files with Python.mp4 7.6 MB
Section 3 Learning Numpy/004 Array Transposition.mp4 7.5 MB
Section 8 Data Visualization/001 Installing Seaborn.mp4 7.2 MB
Section 12 Appendix B Statistics Overview/001 Intro to Appendix B.mp4 7.2 MB
Section 9 Example Projects/006 Titanic Project - Part 4.mp4 5.3 MB
Section 6 Working with Data Part 2/009 Replace.mp4 5.1 MB
Section 1 Intro to Course and Python/002 Resources for Learning Python.mp4 3.7 MB
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