scikit-learn: machine learning in Python
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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.
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
An open source python library for automated feature engineering
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
An intuitive library to add plotting functionality to scikit-learn objects.
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.