ML-Data-Analysis

Notes, Exercises, and other things from the book "Python for Data Analysis"

Python for Data Analysis

Data Wrangling with Pandas, Numpy, and Python.

This repo breaks down practical steps on how to learn Machine Learning with Python. It will only contain notes from the textbook.

This guide was inspired by Daniel Bourke, a Machine Learning engineer who helps others learn machine learning by making videos on YouTube.

The general path goes like this:

Step 1: Learn Python, Data Science tools and Machine Learning concepts

Step 2: Learn Data Manipulation, Analysis and Visualizaation with Pandas, Numpy and Matplotlib

Step 3: Learn Machine Learning with Scikit-Learn

Step 4: Learn Deep Learning and Neural Networks

Step 5: Extra Curriculum & Books