ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-34.01%)
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+120.41%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (-2.38%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+309.52%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-90.14%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+905.44%)
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Stars: ✭ 135 (-54.08%)
Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
Stars: ✭ 1,014 (+244.9%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+742.52%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-25.85%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-88.1%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-69.39%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+17.35%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-80.95%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-93.2%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+415.65%)
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.
Stars: ✭ 10,810 (+3576.87%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+647.28%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+1006.8%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+90.14%)
Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
Stars: ✭ 71 (-75.85%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+694.9%)
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
Stars: ✭ 13,200 (+4389.8%)
ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
Stars: ✭ 196 (-33.33%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-31.63%)
Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
Stars: ✭ 195 (-33.67%)
RadioRadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-32.65%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+882.31%)
ScihubSource code and data analyses for the Sci-Hub Coverage Study
Stars: ✭ 205 (-30.27%)
FlamlA fast and lightweight AutoML library.
Stars: ✭ 205 (-30.27%)
Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
Stars: ✭ 205 (-30.27%)
Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Stars: ✭ 208 (-29.25%)
CartoframesCARTO Python package for data scientists
Stars: ✭ 208 (-29.25%)
CardioCardIO is a library for data science research of heart signals
Stars: ✭ 218 (-25.85%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (-26.19%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-30.61%)
AlphatoolsQuantitative finance research tools in Python
Stars: ✭ 226 (-23.13%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-22.79%)
Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Stars: ✭ 194 (-34.01%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-28.23%)
DatascienceprojectsThe code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Stars: ✭ 223 (-24.15%)
Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Stars: ✭ 239 (-18.71%)
sklearn-pmml-modelA library to parse and convert PMML models into Scikit-learn estimators.
Stars: ✭ 71 (-75.85%)