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donnemartin / data-science-ipython-notebooks

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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.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Oct 1, 2020
  • Python
LightGBM

microsoft / LightGBM

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catboost / catboost

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TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

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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.

python aws machine-learning lua deep-learning neural-network tensorflow scikit-learn keras ipython-notebook torch pandas pytorch kaggle artificial-intelligence matplotlib tensorflow-tutorials convolutional-neural-networks python-data capsule-network
  • Updated Nov 26, 2020
  • Python

interviewBubble / Data-Science-Competitions

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Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science machine-learning kaggle kaggle-competition xgboost data-science-competition competition-code analytics-vidhya data-science-competitions datahack-competition machinehack-competition kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners kaggle-solutions-github competitive-data-science-github
  • Updated Jan 30, 2020

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