Imbalanced LearnA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Stars: ✭ 5,617 (+89.25%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-95.75%)
PycmMulti-class confusion matrix library in Python
Stars: ✭ 1,076 (-63.75%)
DatascienceCurated list of Python resources for data science.
Stars: ✭ 3,051 (+2.8%)
SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (-37.63%)
Data Science Live BookAn open source book to learn data science, data analysis and machine learning, suitable for all ages!
Stars: ✭ 193 (-93.5%)
Scikit Mobilityscikit-mobility: mobility analysis in Python
Stars: ✭ 339 (-88.58%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-97.68%)
Tennis Crystal BallUltimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (-96.39%)
CollapseAdvanced and Fast Data Transformation in R
Stars: ✭ 184 (-93.8%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+180.63%)
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 (-59.43%)
SocratA Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization
Stars: ✭ 26 (-99.12%)
Scikit Learnscikit-learn: machine learning in Python
Stars: ✭ 48,322 (+1528.1%)
TablesawJava dataframe and visualization library
Stars: ✭ 2,785 (-6.17%)
LifelinesSurvival analysis in Python
Stars: ✭ 1,766 (-40.5%)
FacetHuman-explainable AI.
Stars: ✭ 269 (-90.94%)
CTR-kerasTensorflow2.x implementations of CTR(LR、FM、FFM)
Stars: ✭ 69 (-97.68%)
Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
Stars: ✭ 128 (-95.69%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (-21.26%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (-25.98%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (-94.74%)
Rightmove webscraper.pyPython class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
Stars: ✭ 125 (-95.79%)
fairlensIdentify bias and measure fairness of your data
Stars: ✭ 51 (-98.28%)
Gun Violence DataA comprehensive, accessible database that contains records of over 260k US gun violence incidents from January 2013 to March 2018.
Stars: ✭ 123 (-95.86%)
Rpy2Interface to use R from Python
Stars: ✭ 132 (-95.55%)
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.
Stars: ✭ 141 (-95.25%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (-95.86%)
Uncertainty MetricsAn easy-to-use interface for measuring uncertainty and robustness.
Stars: ✭ 145 (-95.11%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (-94.85%)
MatplotplusplusMatplot++: A C++ Graphics Library for Data Visualization 📊🗾
Stars: ✭ 2,433 (-18.03%)
AirbyteAirbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.
Stars: ✭ 4,919 (+65.73%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (-94.31%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (-42.18%)
AulasAulas da Escola de Inteligência Artificial de São Paulo
Stars: ✭ 166 (-94.41%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-94.24%)
KlibEasy to use Python library of customized functions for cleaning and analyzing data.
Stars: ✭ 192 (-93.53%)
ObservationsTools for loading standard data sets in machine learning
Stars: ✭ 190 (-93.6%)
ZebrasData analysis library for JavaScript built with Ramda
Stars: ✭ 192 (-93.53%)
GradioCreate UIs for your machine learning model in Python in 3 minutes
Stars: ✭ 4,358 (+46.83%)
Uci Ml ApiSimple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Stars: ✭ 190 (-93.6%)
TadA desktop application for viewing and analyzing tabular data
Stars: ✭ 2,275 (-23.35%)
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 (-92.65%)
Machine Learning ResourcesA curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Stars: ✭ 226 (-92.39%)
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 (+344.74%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-93.46%)
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 (-92.49%)
StreamlitStreamlit — The fastest way to build data apps in Python
Stars: ✭ 16,906 (+469.61%)