Python Data Science Handbook: full text in Jupyter Notebooks
-
Updated
Apr 23, 2024 - Jupyter Notebook
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Python Data Science Handbook: full text in Jupyter Notebooks
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
100 Days of ML Coding
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.
Open Machine Learning Course
The "Python Machine Learning (1st edition)" book code repository and info resource
My blogs and code for machine learning. http://cnblogs.com/pinard
Open standard for machine learning interoperability
The "Python Machine Learning (2nd edition)" book code repository and info resource
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Jupyter notebooks from the scikit-learn video series
Your new Mentor for Data Science E-Learning.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
The "Python Machine Learning (3rd edition)" book code repository
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Created by David Cournapeau
Released January 05, 2010
Latest release about 1 month ago