Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
Stars: ✭ 23 (-56.6%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+550.94%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+6039.62%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+284.91%)
Ntds 2017Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Stars: ✭ 61 (+15.09%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (+207.55%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+3137.74%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (+298.11%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (+47.17%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+266.04%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (+1528.3%)
User Machine Learning TutorialuseR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Stars: ✭ 393 (+641.51%)
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (+35.85%)
Python Data Science HandbookA Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
Stars: ✭ 102 (+92.45%)
Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
Stars: ✭ 530 (+900%)
H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+2362.26%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+22198.11%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (+279.25%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (+167.92%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+15398.11%)
Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (+637.74%)
Code searchCode For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Stars: ✭ 436 (+722.64%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (+911.32%)
CourseraQuiz & Assignment of Coursera
Stars: ✭ 774 (+1360.38%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+1458.49%)
SkdataPython tools for data analysis
Stars: ✭ 16 (-69.81%)
Errormoji®️ errors, in emoji
Stars: ✭ 16 (-69.81%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+1903.77%)
Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Stars: ✭ 750 (+1315.09%)
MdsModern Data Science
Stars: ✭ 19 (-64.15%)
LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
Stars: ✭ 22 (-58.49%)
R NotesNotes for using R language to do data mining and machine learning (Chinese)
Stars: ✭ 25 (-52.83%)
ResourcesPyMC3 educational resources
Stars: ✭ 930 (+1654.72%)
Elm Cheat SheetAn overview of Elm syntax and features
Stars: ✭ 928 (+1650.94%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+1530.19%)
TutorialsA project for developing tutorials for Streams
Stars: ✭ 14 (-73.58%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+15615.09%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-62.26%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (+1292.45%)
NotebooksLearn Python for free using open-source notebooks in Hebrew.
Stars: ✭ 877 (+1554.72%)
Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
Stars: ✭ 21 (-60.38%)
Mlnet WorkshopML.NET Workshop to predict car sales prices
Stars: ✭ 29 (-45.28%)
2016learnpythonPython Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
Stars: ✭ 32 (-39.62%)
Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (-43.4%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1733.96%)
Mldmпотоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова
Stars: ✭ 35 (-33.96%)