3,102 skills found · Page 2 of 104
susanli2016 / Machine Learning With PythonPython code for common Machine Learning Algorithms
iam-veeramalla / Python For DevopsLearn Python from DevOps Engineer point of you.
chiphuyen / Python Is CoolCool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
hmmlearn / HmmlearnHidden Markov Models in Python, with scikit-learn like API
tirthajyoti / Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
MichalDanielDobrzanski / DeepLearningPythonneuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
mars-project / MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
pyqt / ExamplesLearn to create a desktop app with Python and Qt
codingforentrepreneurs / 30 Days Of PythonLearn Python for the next 30 (or so) Days.
oxylabs / How To Scrape Google TrendsLearn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.
dipanjanS / Practical Machine Learning With PythonMaster 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.
overmind1980 / Oeasy Python Tutorial良心的 Python 教程，面向零基础初学者简明易懂的 Python3 入门基础课程。在linux+vim生产力环境下，从浅入深，从简单程序学到网络爬虫。可以配合蓝桥云上实验环境操作。
luispedro / BuildingMachineLearningSystemsWithPythonSource Code for the book Building Machine Learning Systems with Python
Tanu-N-Prabhu / PythonThis repository helps you learn Python and Machine Learning from scratch.
robertmartin8 / MachineLearningStocksUsing python and scikit-learn to make stock predictions
skfolio / SkfolioPython library for portfolio optimization built on top of scikit-learn
szilard / Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
qiwsir / StarterLearningPythonLearning Python: from Beginner to Master. https://lqlab.readthedocs.io
GauravBh1010tt / DeepLearnImplementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
trevorstephens / GplearnGenetic Programming in Python, with a scikit-learn inspired API
