prajo31's repositories
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
time-series
Time-Series models for multivariate and multistep forecasting, regression, and classification
aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
feature-engineering-for-machine-learning
Code repository for the online course Feature Engineering for Machine Learning
fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Machine-Learning-for-Finance
Machine Learning for Finance, published by Packt
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
notebooks
code for deep learning courses
Projects
Projects that include topics covered
py4at
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.