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[Udemy] Data Analysis In-Depth (In Python) (10.2021)

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File Name
Size
1. Day 1 - Introduction to Data Science.mp4
888 MB
1. Day 1 - Introduction to Data Science.srt
161 kB
1.1 Machine _Learning Day 1.pdf
13 MB
10. Day 9B - Python for Data Analysis.mp4
784 MB
10. Day 9B - Python for Data Analysis.srt
147 kB
10.1 Machine _Learning - 9B.pdf
7.4 MB
11. Day 10 - Python for Data Analysis.mp4
1.0 GB
11. Day 10 - Python for Data Analysis.srt
168 kB
11.1 Python Notebook.zip
33 kB
12. Day 11 - Python for Data Analysis.mp4
1.1 GB
12. Day 11 - Python for Data Analysis.srt
174 kB
12.1 images in pdf.pdf
1.9 MB
13. Day 12 - Python for Data Analysis.mp4
855 MB
13. Day 12 - Python for Data Analysis.srt
166 kB
13.1 images in pdf.pdf
1013 kB
14. Day 13 - Numpy.mp4
1.1 GB
14. Day 13 - Numpy.srt
196 kB
14.1 Machine _Learning - 13.pdf
4.2 MB
14.2 Practicals.zip
1.2 MB
15. Day 14 - Pandas.mp4
818 MB
15. Day 14 - Pandas.srt
174 kB
15.1 Machine _Learning - 14 - Practical.pdf
1.3 MB
15.2 Machine _Learning - 14.pdf
3.3 MB
15.3 Pandas practicals.zip
71 kB
16. Day 15 - Pandas.mp4
791 MB
16. Day 15 - Pandas.srt
120 kB
16.1 Machine _Learning - 15 - Practical.pdf
998 kB
17. Day 16 - Pandas.mp4
1.1 GB
17. Day 16 - Pandas.srt
180 kB
17.1 Machine _Learning - 16 - Practical.pdf
350 kB
18. Day 17 - Pandas.mp4
1.2 GB
18. Day 17 - Pandas.srt
184 kB
18.1 Machine _Learning - 17 - Practical.pdf
1.1 MB
19. Day 18 - Seaborn.mp4
1.1 GB
19. Day 18 - Seaborn.srt
203 kB
19.1 Machine _Learning - 18 - Practical.pdf
409 kB
19.2 Machine _Learning - 18.pdf
3.8 MB
19.3 Seaborn.ipynb
2.4 MB
2. Day 2 - Introduction to Data Analytics.mp4
813 MB
2. Day 2 - Introduction to Data Analytics.srt
147 kB
2.1 Machine _Learning Day 2.pdf
7.8 MB
20. Day 19 A - Seaborn.mp4
587 MB
20. Day 19 A - Seaborn.srt
100 kB
21. Day 19 B - EDA.mp4
379 MB
21. Day 19 B - EDA.srt
60 kB
21.1 EDA Data .txt
84 B
21.2 LendingClub.ipynb
1.5 MB
21.3 Machine _Learning - 19 B - Practical.pdf
247 kB
22. Day 20 A - EDA Cont.mp4
1.3 GB
22. Day 20 A - EDA Cont.srt
215 kB
23. Day 20 B - What Next.mp4
231 MB
23. Day 20 B - What Next.srt
34 kB
3. Day 3 - Statistics for Data Analysis - Scalar, Vectors and Matrix.mp4
810 MB
3. Day 3 - Statistics for Data Analysis - Scalar, Vectors and Matrix.srt
198 kB
3.1 Machine _Learning Day 3.pdf
28 MB
4. Day 4 - Statistics for Data Analysis - Probability.mp4
1012 MB
4. Day 4 - Statistics for Data Analysis - Probability.srt
163 kB
4.1 Machine _Learning Day 4.pdf
17 MB
5. Day 5 - Statistics for Data Analysis - Probability.mp4
1.1 GB
5. Day 5 - Statistics for Data Analysis - Probability.srt
162 kB
5.1 Machine _Learning Day 5.pdf
12 MB
6. Day 6 - Statistics for Data Analysis - Probability.mp4
1.1 GB
6. Day 6 - Statistics for Data Analysis - Probability.srt
197 kB
6.1 Machine _Learning Day 6.pdf
14 MB
6.2 Z Table 20210801.pdf
874 kB
7. Day 7 - Statistics for Data Analysis - Probability.mp4
1.0 GB
7. Day 7 - Statistics for Data Analysis - Probability.srt
160 kB
7.1 Machine _Learning Day 7.pdf
14 MB
7.2 Reference Links.txt
284 B
8. Day 8 - Statistics for Data Analysis - Statistical Hypothesis.mp4
1.3 GB
8. Day 8 - Statistics for Data Analysis - Statistical Hypothesis.srt
211 kB
8.1 Machine _Learning Day 8.pdf
25 MB
9. Day 9A - Statistics for Data Analysis - Statistical Hypothesis.mp4
251 MB
9. Day 9A - Statistics for Data Analysis - Statistical Hypothesis.srt
44 kB
9.1 Machine _Learning 9A.pdf
5.9 MB