SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+7019.23%)
DatascienceCurated list of Python resources for data science.
Stars: ✭ 3,051 (+11634.62%)
TablesawJava dataframe and visualization library
Stars: ✭ 2,785 (+10611.54%)
SupersetApache Superset is a Data Visualization and Data Exploration Platform
Stars: ✭ 42,634 (+163876.92%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+1646.15%)
Scikit Learnscikit-learn: machine learning in Python
Stars: ✭ 48,322 (+185753.85%)
Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
Stars: ✭ 128 (+392.31%)
MatplotplusplusMatplot++: A C++ Graphics Library for Data Visualization 📊🗾
Stars: ✭ 2,433 (+9257.69%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (+165.38%)
Tennis Crystal BallUltimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (+311.54%)
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 (+4530.77%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (+373.08%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (+384.62%)
Facebook data analyzerAnalyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more
Stars: ✭ 515 (+1880.77%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (+550%)
Data Science Live BookAn open source book to learn data science, data analysis and machine learning, suitable for all ages!
Stars: ✭ 193 (+642.31%)
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 (+757.69%)
DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (+792.31%)
StreamlitStreamlit — The fastest way to build data apps in Python
Stars: ✭ 16,906 (+64923.08%)
CjworkbenchThe data journalism platform with built in training
Stars: ✭ 244 (+838.46%)
Imbalanced LearnA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Stars: ✭ 5,617 (+21503.85%)
GraphiaA visualisation tool for the creation and analysis of graphs
Stars: ✭ 67 (+157.69%)
TeachingTeaching Materials for Dr. Waleed A. Yousef
Stars: ✭ 435 (+1573.08%)
OpenrefineOpenRefine is a free, open source power tool for working with messy data and improving it
Stars: ✭ 8,531 (+32711.54%)
DexDex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
Stars: ✭ 1,238 (+4661.54%)
PycmMulti-class confusion matrix library in Python
Stars: ✭ 1,076 (+4038.46%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+5730.77%)
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.
Stars: ✭ 114 (+338.46%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-15.38%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (+334.62%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+8888.46%)
KlibEasy to use Python library of customized functions for cleaning and analyzing data.
Stars: ✭ 192 (+638.46%)
GradioCreate UIs for your machine learning model in Python in 3 minutes
Stars: ✭ 4,358 (+16661.54%)
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 (+738.46%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+10915.38%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+1061.54%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+2607.69%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+1980.77%)
CollapseAdvanced and Fast Data Transformation in R
Stars: ✭ 184 (+607.69%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (+950%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+1111.54%)
Scikit Mobilityscikit-mobility: mobility analysis in Python
Stars: ✭ 339 (+1203.85%)
XlearnHigh performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Stars: ✭ 2,968 (+11315.38%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+3223.08%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+31934.62%)
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 (+557.69%)
ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (+1246.15%)