U*d*e*m*y Learning Python for Data Analysis and Visualization

Creation Time	June 22, 2024, 11:12 a.m.
Last Access Time	Nov. 2, 2024, 3:25 p.m.
File Size	3.2 GB
Keywords	and Visualization e d for Python m Analysis U Learning y Data
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Total Files	104
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10 Machine Learning/078 Logistic Regression Part 4.mp4 97.9 MB
09 Example Projects/064 Data Project - Stock Market Analysis Part 5.mp4 94.0 MB
10 Machine Learning/082 Support Vector Machines - Part 2.mp4 85.8 MB
12 Appendix B Statistics Overview/097 Hypothesis Testing and Confidence Intervals.mp4 78.9 MB
10 Machine Learning/074 Linear Regression Part 4.mp4 78.6 MB
10 Machine Learning/080 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 73.5 MB
10 Machine Learning/075 Logistic Regression Part 1.mp4 71.8 MB
10 Machine Learning/073 Linear Regression Part 3.mp4 68.9 MB
10 Machine Learning/079 Multi Class Classification Part 1 - Logistic Regression.mp4 67.9 MB
09 Example Projects/069 Data Project - Election Analysis Part 4.mp4 65.7 MB
10 Machine Learning/084 Naive Bayes Part 2.mp4 65.5 MB
10 Machine Learning/081 Support Vector Machines Part 1.mp4 64.9 MB
02 Setup/003 Installation Setup and Overview.mp4 62.0 MB
08 Data Visualization/048 Kernel Density Estimate Plots.mp4 61.9 MB
10 Machine Learning/071 Linear Regression Part 1.mp4 58.7 MB
09 Example Projects/061 Data Project - Stock Market Analysis Part 2.mp4 56.8 MB
09 Example Projects/067 Data Project - Election Analysis Part 2.mp4 56.4 MB
04 Intro to Pandas/014 DataFrames.mp4 52.9 MB
10 Machine Learning/072 Linear Regression Part 2.mp4 52.5 MB
10 Machine Learning/076 Logistic Regression Part 2.mp4 51.8 MB
10 Machine Learning/070 Introduction to Machine Learning with SciKit Learn.mp4 46.2 MB
04 Intro to Pandas/021 Summary Statistics.mp4 46.1 MB
09 Example Projects/066 Data Project - Election Analysis Part 1.mp4 44.6 MB
14 Appendix D Web Scraping with Python/104 Web Scraping Part 2.mp4 43.8 MB
07 Working with Data Part 3/043 Aggregation.mp4 43.8 MB
13 Appendix C SQL and Python/100 Introduction to SQL with Python.mp4 43.8 MB
09 Example Projects/055 Titanic Project - Part 1.mp4 43.3 MB
12 Appendix B Statistics Overview/092 Binomial Distribution.mp4 41.7 MB
03 Learning Numpy/011 Array Processing.mp4 41.0 MB
12 Appendix B Statistics Overview/093 Poisson Distribution.mp4 40.2 MB
09 Example Projects/062 Data Project - Stock Market Analysis Part 3.mp4 40.0 MB
10 Machine Learning/077 Logistic Regression Part 3.mp4 39.7 MB
09 Example Projects/068 Data Project - Election Analysis Part 3.mp4 39.1 MB
08 Data Visualization/052 Heatmaps and Clustered Matrices.mp4 39.1 MB
09 Example Projects/056 Titanic Project - Part 2.mp4 38.9 MB
14 Appendix D Web Scraping with Python/103 Web Scraping Part 1.mp4 37.3 MB
12 Appendix B Statistics Overview/099 Bayes Theorem.mp4 36.8 MB
06 Working with Data Part 2/028 Merge.mp4 36.3 MB
07 Working with Data Part 3/041 GroupBy on DataFrames.mp4 36.3 MB
10 Machine Learning/083 Naive Bayes Part 1.mp4 35.7 MB
09 Example Projects/057 Titanic Project - Part 3.mp4 35.1 MB
08 Data Visualization/051 Regression Plots.mp4 34.8 MB
11 Appendix A Python Overview/086 Python Overview Part 1.mp4 34.5 MB
09 Example Projects/059 Intro to Data Project - Stock Market Analysis.mp4 32.8 MB
09 Example Projects/060 Data Project - Stock Market Analysis Part 1.mp4 32.4 MB
13 Appendix C SQL and Python/101 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 32.3 MB
04 Intro to Pandas/016 Reindex.mp4 32.3 MB
13 Appendix C SQL and Python/102 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 28.1 MB
11 Appendix A Python Overview/085 Intro to Resources for Learning Python.mp4 27.0 MB
03 Learning Numpy/008 Indexing Arrays.mp4 26.2 MB
09 Example Projects/063 Data Project - Stock Market Analysis Part 4.mp4 25.9 MB
09 Example Projects/053 Data Projects Preview.mp4 25.8 MB
06 Working with Data Part 2/029 Merge on Index.mp4 25.2 MB
12 Appendix B Statistics Overview/091 Continuous Uniform Distribution.mp4 25.2 MB
05 Working with Data Part 1/024 Reading and Writing Text Files.mp4 24.8 MB
04 Intro to Pandas/013 Series.mp4 24.7 MB
04 Intro to Pandas/023 Index Hierarchy.mp4 24.0 MB
07 Working with Data Part 3/042 GroupBy on Dict and Series.mp4 23.3 MB
07 Working with Data Part 3/044 Splitting Applying and Combining.mp4 22.2 MB
12 Appendix B Statistics Overview/095 Sampling Techniques.mp4 22.0 MB
11 Appendix A Python Overview/087 Python Overview Part 2.mp4 21.9 MB
12 Appendix B Statistics Overview/090 Discrete Uniform Distribution.mp4 21.8 MB
06 Working with Data Part 2/030 Concatenate.mp4 21.1 MB
08 Data Visualization/047 Histograms.mp4 20.3 MB
11 Appendix A Python Overview/088 Python Overview Part 3.mp4 19.9 MB
06 Working with Data Part 2/031 Combining DataFrames.mp4 19.9 MB
12 Appendix B Statistics Overview/094 Normal Distribution.mp4 19.4 MB
04 Intro to Pandas/022 Missing Data.mp4 18.9 MB
09 Example Projects/054 Intro to Data Projects.mp4 18.7 MB
08 Data Visualization/050 Box and Violin Plots.mp4 18.3 MB
04 Intro to Pandas/018 Selecting Entries.mp4 18.1 MB
06 Working with Data Part 2/033 Pivoting.mp4 18.0 MB
04 Intro to Pandas/019 Data Alignment.mp4 17.7 MB
12 Appendix B Statistics Overview/096 T-Distribution.mp4 16.4 MB
06 Working with Data Part 2/039 Outliers.mp4 16.2 MB
12 Appendix B Statistics Overview/098 Chi Square Test and Distribution.mp4 15.7 MB
03 Learning Numpy/010 Universal Array Function.mp4 14.9 MB
09 Example Projects/065 Data Project - Intro to Election Analysis.mp4 14.9 MB
06 Working with Data Part 2/032 Reshaping.mp4 14.4 MB
03 Learning Numpy/012 Array Input and Output.mp4 14.0 MB
05 Working with Data Part 1/026 HTML with Python.mp4 13.5 MB
03 Learning Numpy/006 Creating arrays.mp4 13.1 MB
06 Working with Data Part 2/038 Binning.mp4 13.0 MB
08 Data Visualization/049 Combining Plot Styles.mp4 11.6 MB
01 Intro to Course and Python/001 Course Intro.mp4 11.5 MB
06 Working with Data Part 2/034 Duplicates in DataFrames.mp4 11.1 MB
06 Working with Data Part 2/037 Rename Index.mp4 10.1 MB
04 Intro to Pandas/020 Rank and Sort.mp4 9.5 MB
04 Intro to Pandas/017 Drop Entry.mp4 9.2 MB
04 Intro to Pandas/015 Index objects.mp4 9.2 MB
05 Working with Data Part 1/025 JSON with Python.mp4 9.0 MB
02 Setup/004 iPython Notebook Overview.mp4 8.9 MB
07 Working with Data Part 3/045 Cross Tabulation.mp4 8.8 MB
06 Working with Data Part 2/040 Permutation.mp4 8.7 MB
02 Setup/005 Course Environment Overview.mp4 8.3 MB
03 Learning Numpy/007 Using arrays and scalars.mp4 7.9 MB
06 Working with Data Part 2/035 Mapping.mp4 7.8 MB
05 Working with Data Part 1/027 Microsoft Excel files with Python.mp4 7.6 MB
03 Learning Numpy/009 Array Transposition.mp4 7.5 MB
08 Data Visualization/046 Installing Seaborn.mp4 7.2 MB
12 Appendix B Statistics Overview/089 Intro to Appendix B.mp4 7.2 MB
09 Example Projects/058 Titanic Project - Part 4.mp4 5.3 MB
06 Working with Data Part 2/036 Replace.mp4 5.1 MB
01 Intro to Course and Python/002 Resources for Learning Python.mp4 3.7 MB

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