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| 1 -Course_Python_Numpy_For_Data_Science.ipynb |
895.51KB |
| 1 -Dealing with missing values and basic imputation techniques.mp4 |
44.78MB |
| 1 -Inferential Statistics and Universal Functions.mp4 |
51.07MB |
| 1 -Introduction.mp4 |
9.82MB |
| 1 -Major Ideas from Linear Algebra.mp4 |
113.08MB |
| 1 -Numpy and its use in Machine Learning and Data Science Applications.mp4 |
79.12MB |
| 1 -Numpy Arrays and Manipulation.mp4 |
106.07MB |
| 1 -Numpy Dates and Set Operations.mp4 |
55.10MB |
| 1 -Performance Optimization For loops vs Vectorization.mp4 |
26.69MB |
| 1 -Plotting with Numpy.mp4 |
30.49MB |
| 1 -Sequences and Random Numbers arange, linspace, and random number generation.mp4 |
79.09MB |
| 1 -Vectorized Operations.mp4 |
92.72MB |
| 2 -Array Indexing and Slicing.mp4 |
99.26MB |
| 2 -Vectorized Operations Continued.mp4 |
48.17MB |
| 3 -Comparing Numpy Arrays and Numpy Special Values.mp4 |
20.33MB |
| Bonus Resources.txt |
70B |
| Get Bonus Downloads Here.url |
183B |