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文件列表
10 Machine Learning/086 Decision Trees and Random Forests.mp4
243.4 MB
10 Machine Learning/089 Natural Language Processing Part 3.mp4
146.2 MB
09 Example Projects/070 Data Project - Election Analysis Part 4.mp4
129.8 MB
10 Machine Learning/090 Natural Language Processing Part 4.mp4
106.8 MB
10 Machine Learning/079 Logistic Regression Part 4.mp4
102.7 MB
09 Example Projects/065 Data Project - Stock Market Analysis Part 5.mp4
98.5 MB
10 Machine Learning/088 Natural Language Processing Part 2.mp4
92.7 MB
10 Machine Learning/083 Support Vector Machines - Part 2.mp4
90.0 MB
11 Appendix Statistics Overview/099 Hypothesis Testing and Confidence Intervals.mp4
82.7 MB
10 Machine Learning/075 Linear Regression Part 4.mp4
82.5 MB
10 Machine Learning/081 Multi Class Classification Part 2 - k Nearest Neighbor.mp4
77.1 MB
10 Machine Learning/076 Logistic Regression Part 1.mp4
75.3 MB
10 Machine Learning/074 Linear Regression Part 3.mp4
72.2 MB
10 Machine Learning/080 Multi Class Classification Part 1 - Logistic Regression.mp4
71.1 MB
10 Machine Learning/087 Natural Language Processing Part 1.mp4
68.9 MB
10 Machine Learning/085 Naive Bayes Part 2.mp4
68.7 MB
10 Machine Learning/082 Support Vector Machines Part 1.mp4
68.1 MB
08 Data Visualization/049 Kernel Density Estimate Plots.mp4
64.9 MB
09 Example Projects/054 Data Projects Preview.mp4
62.4 MB
10 Machine Learning/072 Linear Regression Part 1.mp4
61.5 MB
02 Setup/005 iPythonJupyter Notebook Overview.mp4
60.6 MB
09 Example Projects/062 Data Project - Stock Market Analysis Part 2.mp4
59.6 MB
09 Example Projects/068 Data Project - Election Analysis Part 2.mp4
59.1 MB
04 Intro to Pandas/015 DataFrames.mp4
55.4 MB
10 Machine Learning/073 Linear Regression Part 2.mp4
55.1 MB
10 Machine Learning/077 Logistic Regression Part 2.mp4
54.3 MB
10 Machine Learning/071 Introduction to Machine Learning with SciKit Learn.mp4
48.4 MB
04 Intro to Pandas/022 Summary Statistics.mp4
48.3 MB
09 Example Projects/067 Data Project - Election Analysis Part 1.mp4
46.7 MB
13 Appendix Web Scraping with Python/106 Web Scraping Part 2.mp4
46.0 MB
07 Working with Data Part 3/044 Aggregation.mp4
45.9 MB
12 Appendix SQL and Python/102 Introduction to SQL with Python.mp4
45.9 MB
09 Example Projects/056 Titanic Project - Part 1.mp4
45.4 MB
11 Appendix Statistics Overview/094 Binomial Distribution.mp4
43.8 MB
03 Learning Numpy/012 Array Processing.mp4
43.0 MB
11 Appendix Statistics Overview/095 Poisson Distribution.mp4
42.2 MB
09 Example Projects/063 Data Project - Stock Market Analysis Part 3.mp4
42.0 MB
10 Machine Learning/078 Logistic Regression Part 3.mp4
41.6 MB
09 Example Projects/069 Data Project - Election Analysis Part 3.mp4
41.0 MB
08 Data Visualization/053 Heatmaps and Clustered Matrices.mp4
40.9 MB
09 Example Projects/057 Titanic Project - Part 2.mp4
40.8 MB
02 Setup/004 IDEs and Course Resources.mp4
40.4 MB
02 Setup/003 Installation Setup and Overview.mp4
39.5 MB
13 Appendix Web Scraping with Python/105 Web Scraping Part 1.mp4
39.1 MB
11 Appendix Statistics Overview/101 Bayes Theorem.mp4
38.5 MB
06 Working with Data Part 2/029 Merge.mp4
38.1 MB
07 Working with Data Part 3/042 GroupBy on DataFrames.mp4
38.1 MB
10 Machine Learning/084 Naive Bayes Part 1.mp4
37.4 MB
09 Example Projects/058 Titanic Project - Part 3.mp4
36.8 MB
08 Data Visualization/052 Regression Plots.mp4
36.5 MB
14 Appendix Python Special Offers/107 Python Overview Part 1.mp4
36.1 MB
09 Example Projects/060 Intro to Data Project - Stock Market Analysis.mp4
34.4 MB
09 Example Projects/061 Data Project - Stock Market Analysis Part 1.mp4
34.0 MB
12 Appendix SQL and Python/103 SQL - SELECTDISTINCTWHEREAND OR.mp4
33.9 MB
04 Intro to Pandas/017 Reindex.mp4
33.8 MB
09 Example Projects/066 Data Project - Intro to Election Analysis.mp4
33.0 MB
12 Appendix SQL and Python/104 SQL WILDCARDS ORDER BY GROUP BY and Aggregate Functions.mp4
29.5 MB
03 Learning Numpy/009 Indexing Arrays.mp4
27.4 MB
09 Example Projects/064 Data Project - Stock Market Analysis Part 4.mp4
27.1 MB
06 Working with Data Part 2/030 Merge on Index.mp4
26.4 MB
11 Appendix Statistics Overview/093 Continuous Uniform Distribution.mp4
26.4 MB
05 Working with Data Part 1/025 Reading and Writing Text Files.mp4
26.0 MB
04 Intro to Pandas/014 Series.mp4
25.9 MB
04 Intro to Pandas/024 Index Hierarchy.mp4
25.2 MB
07 Working with Data Part 3/043 GroupBy on Dict and Series.mp4
24.4 MB
07 Working with Data Part 3/045 Splitting Applying and Combining.mp4
23.2 MB
11 Appendix Statistics Overview/097 Sampling Techniques.mp4
23.1 MB
14 Appendix Python Special Offers/108 Python Overview Part 2.mp4
23.0 MB
11 Appendix Statistics Overview/092 Discrete Uniform Distribution.mp4
22.9 MB
06 Working with Data Part 2/031 Concatenate.mp4
22.2 MB
08 Data Visualization/048 Histograms.mp4
21.2 MB
14 Appendix Python Special Offers/109 Python Overview Part 3.mp4
20.9 MB
06 Working with Data Part 2/032 Combining DataFrames.mp4
20.8 MB
11 Appendix Statistics Overview/096 Normal Distribution.mp4
20.4 MB
04 Intro to Pandas/023 Missing Data.mp4
19.8 MB
09 Example Projects/055 Intro to Data Projects.mp4
19.6 MB
08 Data Visualization/051 Box and Violin Plots.mp4
19.2 MB
04 Intro to Pandas/019 Selecting Entries.mp4
19.0 MB
06 Working with Data Part 2/034 Pivoting.mp4
18.8 MB
04 Intro to Pandas/020 Data Alignment.mp4
18.6 MB
11 Appendix Statistics Overview/098 T-Distribution.mp4
17.1 MB
06 Working with Data Part 2/040 Outliers.mp4
17.0 MB
11 Appendix Statistics Overview/100 Chi Square Test and Distribution.mp4
16.5 MB
03 Learning Numpy/011 Universal Array Function.mp4
15.7 MB
06 Working with Data Part 2/033 Reshaping.mp4
15.1 MB
03 Learning Numpy/013 Array Input and Output.mp4
14.7 MB
05 Working with Data Part 1/027 HTML with Python.mp4
14.1 MB
01 Intro to Course and Python/001 Course Intro.mp4
13.9 MB
03 Learning Numpy/007 Creating arrays.mp4
13.7 MB
06 Working with Data Part 2/039 Binning.mp4
13.7 MB
08 Data Visualization/050 Combining Plot Styles.mp4
12.2 MB
06 Working with Data Part 2/035 Duplicates in DataFrames.mp4
11.6 MB
06 Working with Data Part 2/038 Rename Index.mp4
10.6 MB
04 Intro to Pandas/021 Rank and Sort.mp4
9.9 MB
04 Intro to Pandas/018 Drop Entry.mp4
9.7 MB
04 Intro to Pandas/016 Index objects.mp4
9.7 MB
05 Working with Data Part 1/026 JSON with Python.mp4
9.4 MB
07 Working with Data Part 3/046 Cross Tabulation.mp4
9.3 MB
06 Working with Data Part 2/041 Permutation.mp4
9.2 MB
03 Learning Numpy/008 Using arrays and scalars.mp4
8.3 MB
06 Working with Data Part 2/036 Mapping.mp4
8.2 MB
05 Working with Data Part 1/028 Microsoft Excel files with Python.mp4
8.0 MB
03 Learning Numpy/010 Array Transposition.mp4
7.9 MB
08 Data Visualization/047 Installing Seaborn.mp4
7.6 MB
11 Appendix Statistics Overview/091 Intro to Appendix B.mp4
7.6 MB
09 Example Projects/059 Titanic Project - Part 4.mp4
5.6 MB
06 Working with Data Part 2/037 Replace.mp4
5.4 MB
01 Intro to Course and Python/002 Course FAQs.html
7.4 kB
15 BONUS SPECIAL DISCOUNT COUPONS/110 BONUS Special Offers.html
1.7 kB
03 Learning Numpy/006 Intro to numpy.html
1.2 kB
09 Example Projects/attached_files/055 Intro to Data Projects/First-Data-Project.txt
302 Bytes
09 Example Projects/attached_files/056 Titanic Project - Part 1/First-Data-Project.txt
302 Bytes
02 Setup/attached_files/005 iPythonJupyter Notebook Overview/Lecture-4-Info.txt
176 Bytes
11 Appendix Statistics Overview/attached_files/091 Intro to Appendix B/Viewer-Link-For-Stats-Notes.txt
119 Bytes
Freetutorials.us.url
119 Bytes
[FreeTutorials.us].txt
75 Bytes
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