12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
Repository Index
47,133 repositories indexed
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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A High-Quality Real Time Upscaler for Anime Video
- anime
- upscaling
- upsampling
- video-processing
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
- interview-questions
- dsa
- dbms
- sql
PRML algorithms implemented in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Use evolutionary algorithms instead of gridsearch in scikit-learn
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.