Data Science Ipython Notebooks
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
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Results: 111
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
NeuromatchAcademy
NMA Computational Neuroscience course
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
sktime
A unified framework for machine learning with time series
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
haifengl
Statistical Machine Intelligence & Learning Engine