Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Ds bowl 2018Kaggle Data Science Bowl 2018
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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AutomungeArtificial Learning, Intelligent Machines
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Data Science WgSF Brigade's Data Science Working Group.
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Book This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
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Griffon VmGriffon Data Science Virtual Machine
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RaspberryturkThe Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.
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Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
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LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
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Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
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Pythondatarepo for code published on pythondata.com
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Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
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2016 Ml ContestMachine learning contest - October 2016 TLE
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Beyond Jupyter🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)
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Machine Learning And Data ScienceThis is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
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AlgocodeWelcome everyone!🌟 Here you can solve problems, build scrappers and much more💻
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TextbookPrinciples and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
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Nyc TransportA Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
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TestovoeHome assignments for data science positions
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Machine Learning🌎 machine learning tutorials (mainly in Python3)
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Project kojakTraining a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Data Science Stack Cookiecutter🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
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Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
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ZigzagPython library for identifying the peaks and valleys of a time series.
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Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
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