12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Updated
Mar 8, 2023 - Jupyter Notebook
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
100 Days of ML Coding
Python Data Science Handbook: full text in Jupyter Notebooks
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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 standard for machine learning interoperability
Your new Mentor for Data Science E-Learning.
The "Python Machine Learning (1st edition)" book code repository and info resource
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open Machine Learning Course
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
My blogs and code for machine learning. http://cnblogs.com/pinard
The "Python Machine Learning (2nd edition)" book code repository and info resource
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
A unified framework for machine learning with time series
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Created by David Cournapeau
Released January 05, 2010
Latest release about 1 month ago