Learn NumPy Basics For Machine Learning | 100 Days Of Machine Learning (Day 6)
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Join me on #100DaysOfML and follow along to learn machine learning!
Day 6 of 100:
In Day 6 we will be focusing on the NumPy library in Python. NumPy is a very useful library especially for machine learning & data science. It helps us deal with the core mathematical unit in a lot of machine learning models: matrices. With Numpy we can create multi-dimensional arrays and also perform mathematical calculations on them. Numpy is highly versatile when it comes to matrix operations and we will take a look at some basic examples in this video.
Timestamps
0:00 Intro
2:05 NumPy intro
3:22 One-dimensional arrays
4:25 Two-dimensional arrays
5:23 Zero & One Matrices
7:06 Random values in array
9:13 Creating Linear dataset
11:08 Adding noise to dataset
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