Repository Index

Crack LeetCode, not only how, but also why.

• leetcode
• algorithms
• interview-questions
• data-structures

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github

100 Days of ML Coding

• machine-learning
• machine-learning-algorithms
• infographics
• tutorial

TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2

• fp-growth
• apriori
• mahchine-leaning
• naivebayes

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

Best Practices on Recommendation Systems

• machine-learning
• recommender
• ranking
• deep-learning

TranslatedAlgorithm Patterns — the most scientific way to practice, the fastest path to an offer. You deserve it~ Algorithm templates, the most scientific way to practice problems, the fastest path to practice problems, you deserve it~

• leetcode
• leetcode-go
• algorithm
• algo

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

A collection of machine learning examples and tutorials.

• deep-learning
• machine-learning
• reinforcement-learning
• python

My blogs and code for machine learning. http://cnblogs.com/pinard

• machinelearning
• algorithms
• scikit-learn
• reinforcementlearning

Toturials coming with the "data science roadmap" picture.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

• machine-learning
• python
• data-analysis
• data-science

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

• machine-learning
• deep-learning
• data-science
• neural-networks

Jupyter notebooks from the scikit-learn video series

• scikit-learn
• machine-learning
• data-science
• jupyter-notebook

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

• latex
• python
• research-paper
• notation

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

• machine-learning
• deep-learning
• neural-networks
• tensorflow

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

• python-tutorials
• python3
• advanced-python
• data-science

:earth_americas: machine learning tutorials (mainly in Python3)

• machine-learning
• data-science
• jupyter-notebook
• python3

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

• artificial-intelligence
• data-science
• deep-learning
• machine-learning

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

• numpy
• statistics
• pandas
• matplotlib

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

Un tutorial Docker en español. Basado en el libro Docker Cookbook de O'reilly

• docker
• tutorial
• spanish
• espanol

DevStart Lab - An interactive open-source platform to learn programming, explore real projects, and contribute to GitHub.

• beginner-friendly
• coding-challenges
• developer-tools
• education

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning