Data Science WgSF Brigade's Data Science Working Group.
Stars: ✭ 135 (+462.5%)
Satellite imagery analysisImplementation of different techniques to find insights from the satellite data using Python.
Stars: ✭ 31 (+29.17%)
JoypyJoyplots in Python with matplotlib & pandas 📈
Stars: ✭ 322 (+1241.67%)
Daru Viewdaru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Stars: ✭ 65 (+170.83%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+6216.67%)
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 (+808.33%)
PygtcMake a sweet giant triangle confusogram (GTC) plot
Stars: ✭ 13 (-45.83%)
Qs ledgerQuantified Self Personal Data Aggregator and Data Analysis
Stars: ✭ 559 (+2229.17%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (+133.33%)
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Stars: ✭ 35 (+45.83%)
KriskStatistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.
Stars: ✭ 111 (+362.5%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (+370.83%)
Covid 19 jhu data web scrap and cleaningThis repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/
Stars: ✭ 80 (+233.33%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (+766.67%)
Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
Stars: ✭ 217 (+804.17%)
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 (+1037.5%)
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 (+829.17%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+1791.67%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+3500%)
FacetsVisualizations for machine learning datasets
Stars: ✭ 6,744 (+28000%)
TablesawJava dataframe and visualization library
Stars: ✭ 2,785 (+11504.17%)
Kepler.glKepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Stars: ✭ 8,231 (+34195.83%)
VolbxGraphical tool for data manipulation written in C++/Qt
Stars: ✭ 187 (+679.17%)
MetrotwitterWhat Twitter reveals about the differences between cities and the monoculture of the Bay Area
Stars: ✭ 52 (+116.67%)
EqualareacartogramConverts a Shapefile, GeoJSON, or CSV to an equal area cartogram
Stars: ✭ 68 (+183.33%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (+604.17%)
Learning Vis ToolsLearning Vis Tools: Tutorial materials for Data Visualization course at HKUST
Stars: ✭ 108 (+350%)
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 (+375%)
Basketball analyticsRepository which contains various scripts and work with various basketball statistics
Stars: ✭ 88 (+266.67%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (+412.5%)
PbpythonCode, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+7083.33%)
Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
Stars: ✭ 146 (+508.33%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+1212.5%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+11833.33%)
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 (+612.5%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+816.67%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (+554.17%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (+845.83%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+1158.33%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (+545.83%)
Py d3D3 block magic for Jupyter notebook.
Stars: ✭ 428 (+1683.33%)
BapBayesian Analysis with Python (Second Edition)
Stars: ✭ 379 (+1479.17%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+2154.17%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+9637.5%)
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 (+1358.33%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+2833.33%)
PhononsA collection of structures, force constants and phonon data obtained from first-principles calculations
Stars: ✭ 23 (-4.17%)