9 Steps to Become a Machine Learning Expert in the Shortest Time [Completely Free]

Introduction

Regarding Steps 1, 2 and 7, I think you don't have to do it if you don't have time.

1. Learn statistics

-Acquisition of Statistical Test Level 2

2. Know the principle of ML

-Overview of Gradient Descent Optimization Algorithm

3. Learn Python

4. Learn the basics of ML

-Preparing data in ML

-Implement gradient descent with full scratch

-Implement kNN with full scratch

-KMeans algorithm and how to operate SVM

-Visualization of kNN, SVM, XGBoost

-Gradient Boosting and XGBoost

-XGBoost taught by Kaggle Master

-Brush up your decision tree skills

Another thing I would like to mention is

And so on. (I will add it in the future)

5. Learn the basics of TensorFlow / Keras

-TensorFlow and Deep Learning

-Deep Learning with Keras

6. Learn Deep Learning / NLP

-Intuitive understanding of Deep Learning by removing neurons

-Introduction to NLP written by legendary Peter Norvig

7. Learn Git / SQL etc.

8. Learn Cloud Computing

9. Challenge Kaggle

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