LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
Stars: ✭ 22 (-62.71%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+191.53%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+1700%)
SkdataPython tools for data analysis
Stars: ✭ 16 (-72.88%)
ResourcesPyMC3 educational resources
Stars: ✭ 930 (+1476.27%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-66.1%)
Mlnet WorkshopML.NET Workshop to predict car sales prices
Stars: ✭ 29 (-50.85%)
H1stThe AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Stars: ✭ 697 (+1081.36%)
CourseraQuiz & Assignment of Coursera
Stars: ✭ 774 (+1211.86%)
Industry Machine LearningA curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Stars: ✭ 6,077 (+10200%)
Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
Stars: ✭ 23 (-61.02%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+14016.95%)
Opencv TutorialsTutorials for learning OpenCV in Python from Scratch
Stars: ✭ 36 (-38.98%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-40.68%)
Practical dlDL course co-developed by YSDA, HSE and Skoltech
Stars: ✭ 1,006 (+1605.08%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+1571.19%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-28.81%)
FeatexpFeature exploration for supervised learning
Stars: ✭ 688 (+1066.1%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+1093.22%)
Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Stars: ✭ 750 (+1171.19%)
Hitchhikers GuideThe Hitchhiker's Guide to Data Science for Social Good
Stars: ✭ 732 (+1140.68%)
Earthengine Py NotebooksA collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Stars: ✭ 807 (+1267.8%)
MdsModern Data Science
Stars: ✭ 19 (-67.8%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+1364.41%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (+1362.71%)
Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
Stars: ✭ 21 (-64.41%)
TutorialsIpython notebooks for math and finance tutorials
Stars: ✭ 654 (+1008.47%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1547.46%)
2016learnpythonPython Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
Stars: ✭ 32 (-45.76%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+1564.41%)
Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (-49.15%)
Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
Stars: ✭ 1,004 (+1601.69%)
PixiedustPython Helper library for Jupyter Notebooks
Stars: ✭ 998 (+1591.53%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+13822.03%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-50.85%)
Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Stars: ✭ 8,263 (+13905.08%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-10.17%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (-15.25%)
Nteract📘 The interactive computing suite for you! ✨
Stars: ✭ 5,713 (+9583.05%)
TsfreshAutomatic extraction of relevant features from time series:
Stars: ✭ 6,077 (+10200%)
Hottbox Tutorials📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
Stars: ✭ 29 (-50.85%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-16.95%)