Data Science and Machine Learning with Python

on YouTube ↗47m

" summary

Live demo shows Python tools and exact workflows: Anaconda distribution with Jupyter notebooks, NumPy vectorized ops and broadcasting on arrays, Pandas for cleaning and exporting CSVs, Matplotlib for inline plots, and scikit-learn decision trees (Iris Iris 150 samples used to split train/test and classify by petal width). Examples include timing loops, interrupting long runs, handling a 4000x6000x3 image array, and a note that TensorFlow is not installed in this environment (Anaconda distribution).

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" chapters (16)

1. 0:00Start
2. 5:08Top Us Jobs in 2018 Based on Salary
3. 6:17How To Install Python Libraries
4. 8:30Anaconda Navigator
5. 10:31Jupiter Notebook for Data Science
6. 11:41Notebook Operations
7. 19:13Numpy Notebook
8. 19:28Introduction to Numpy
9. 21:31Python Data Structures
10. 25:57Slicing and Indexing
11. 28:42Pandas Can Read External Files
12. 32:53Supervised Learning
13. 33:35Data Structures
14. 34:02Iris Dataset
15. 40:01Finding Anomaly in the Data
16. 44:19How Did You Started To Work with Data Science and Machine Learning

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