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 (+209.73%)
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 (+965.49%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Stars: ✭ 356 (+215.04%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+178.76%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (+8.85%)
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 (+141.59%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-80.53%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (+664.6%)
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 (+0.88%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+1241.59%)
Openml RR package to interface with OpenML
Stars: ✭ 81 (-28.32%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+2434.51%)
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 (+92.92%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+167.26%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (+35.4%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+1084.07%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+378.76%)
SkdataPython tools for data analysis
Stars: ✭ 16 (-85.84%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+523.01%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-53.1%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (+0%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+2515.93%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+1418.58%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1968.14%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-50.44%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+52.21%)
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 (+51.33%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+772.57%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-15.04%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+301.77%)
Jupyter pivottablejsDrag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Stars: ✭ 428 (+278.76%)
Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Stars: ✭ 750 (+563.72%)
ResourcesPyMC3 educational resources
Stars: ✭ 930 (+723.01%)
Agile data code 2Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Stars: ✭ 413 (+265.49%)
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 (-62.83%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+7270.8%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-38.94%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-3.54%)
Learning pythonSource material for Python Like You Mean it
Stars: ✭ 78 (-30.97%)
Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
Stars: ✭ 1,212 (+972.57%)
NotebooksA collection of Jupyter/IPython notebooks
Stars: ✭ 78 (-30.97%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-30.09%)