Machine Learning Basics - Lesson 1 | Explaining DOE and Gradient Descent | Podcast Style
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1. Set Up Environment Google Colab
Python Beyond Basics for Machine Learning, Data Science, AI
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31. Python: isinstance, Use of format, Timeit, round, Slice and abs
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28. Python Logging Module
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29. Python: Lambda, Map, Filter and Reduce Function.
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30. Python Queue
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24. Python: User-defined functions and Inbuilt functions
Python Beyond Basics for Machine Learning, Data Science, AI
25. Python: iterator
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26. Python: Generator and decorators.
Python Beyond Basics for Machine Learning, Data Science, AI
27. Python: Global and local Variables in Functions.
Python Beyond Basics for Machine Learning, Data Science, AI
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6. Python: String Operations
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23. Python CSV file Operations
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3. Python: How to take input
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5. Python: Introduction to List, Tuple, Dictionary, Set.
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2. Python: Data Type and Variable, Keywords
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22. Python: List Comprehension, Frozensets and Assertion
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17. Python: Datetime and Calendar Module
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13. Indentation in Python
Python Beyond Basics for Machine Learning, Data Science, AI