A curated list of causal inference libraries, resources, and applications.

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Python training for business analysts and traders

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

A curated list of awesome self-supervised methods

Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

🎓 Sharing machine learning course / lecture notes.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.

Hypothesis testing (Parametric/Non-Parametric)

Portfolio in Python

Cracking the Data Science Interview

Learn ML engineering for free in 4 months! Register here 👇🏼

Data science interview questions with answers. Not ideally (yet)

My solution to the book A Collection of Data Science Take-Home Challenges

Data science interview questions and answers

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

A game theoretic approach to explain the output of any machine learning model.

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Introduction to Statistics using Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis…