Machine Learning and Data Mining, Summer 2021-2022

How to learn data science and machine learning?

1. Programming. Learn Python.
2. Basic Statistics. Take a look at the amazing YouTube channel in the Maths section.
3. Databases. Learn SQL. Check out mode.com.
4. Exploratory Data Analysis. Learn how to work with NumPy, Pandas, Matplotlib, Seaborn.
5. Machine Learning. Learn the various algorithms. Explore Scikit learn.
6. Data scraping. Explore the Beautiful soup library.
7. Study the niches: deep learning, nlp (natural language processing), cv (computer vision).
8. Deployment. Explore Flask, Streamlit, Django.

Framework

1. Learn just enough.
2. Do a project. For example choose one from Kaggle.
3. Iterate.
4. Accountability. Show off your work on Github.

Most important APIs

• Python
• Numpy
• Pandas
• Matplotlib
• Seaborn
• Scikit learn

Resources

Python

• Python in 2 hours
• Python in 5 hours
• Python in 13 hours

Markdown

• Markdown Cheat Sheet – How to Write in Markdown with Examples
• Markdown Cheatsheet

Maths

• The essence of linear algebra
• The essence of calculus
• Probability Distributions
  • Statistics course

Machine learning and Deep learning

• Machine Learning Playlist
• Deep Learning with Tensorflow and Keras
• The Guru of Machine Learning teaching Machine Learning!
• The Guru of Machine Learning on Coursera
• But what are neural networks?

Books

• Most popular book on machine learning and deep learning