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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| 01.The Course Overview.mp4 |
3.61MB |
| 02.What Is Data Science.mp4 |
27.71MB |
| 03.Python Data Science Ecosystem.mp4 |
4.50MB |
| 04.Installing Anaconda.mp4 |
2.55MB |
| 05.Starting Jupyter.mp4 |
10.00MB |
| 06.Basics of Jupyter.mp4 |
3.97MB |
| 07.Markdown Syntax.mp4 |
4.78MB |
| 08.1D Arrays with NumPy.mp4 |
14.19MB |
| 09.2D Arrays with NumPy.mp4 |
23.97MB |
| 10.Functions in NumPy.mp4 |
20.73MB |
| 11.Random Numbers and Distributions in NumPy.mp4 |
16.61MB |
| 12.Create DataFrames.mp4 |
64.32MB |
| 13.Read in Data Files.mp4 |
103.42MB |
| 14.Subsetting DataFrames.mp4 |
12.60MB |
| 15.Boolean Indexing in DataFrames.mp4 |
12.00MB |
| 16.Summarizing and Grouping Data.mp4 |
14.25MB |
| 17.Matplotlib Introduction.mp4 |
22.36MB |
| 18.Graphs with Matplotlib.mp4 |
15.65MB |
| 19.Graphs with Seaborn.mp4 |
29.87MB |
| 20.Graphs with Pandas.mp4 |
20.00MB |
| 21.Machine Learning.mp4 |
6.56MB |
| 22.Types of Machine Learning.mp4 |
6.13MB |
| 23.Introduction to Scikit-learn.mp4 |
7.09MB |
| 24.Linear Regression.mp4 |
43.41MB |
| 25.Logistic Regression.mp4 |
18.62MB |
| 26.K-Nearest Neighbors.mp4 |
18.27MB |
| 27.Decision Trees.mp4 |
13.48MB |
| 28.Random Forest.mp4 |
11.99MB |
| 29.K-Means Clustering.mp4 |
8.96MB |
| 30.Preparing Data for Machine Learning.mp4 |
32.09MB |
| 31.Performance Metrics.mp4 |
17.82MB |
| 32.Bias-Variance Tradeoff.mp4 |
15.35MB |
| 33.Cross-Validation.mp4 |
13.69MB |
| 34.Grid Search.mp4 |
25.05MB |
| 35.Wrap Up.mp4 |
4.37MB |
| code_34313.zip |
3.09MB |