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Start With Ds ⭐ 22

Slides and materials for the "Start with Data Science as an Introduction to Statistical Thinking" invited session at SDSS 2018

Data Science End To End ⭐ 22

A Respository to get you job ready as a Data Scientist

Dse210x Statistics And Probability In Data Science Using Python ⭐ 21

UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python

Pairs_trading_cryptocurrencies_strategy_catalyst ⭐ 21

Pairs trading strategy example based on Catalyst

Marswitching.jl ⭐ 21

MarSwitching.jl: Julia package for Markov switching dynamic models

Discriminative Ai Resources ⭐ 21

Personal Artificial Intelligence Resources List

Quant Invest Lab ⭐ 21

Quant Invest Lab is a project aimed to provide a set of basic tools for quantitative experiments. By quantitative experiment I mean trying to build your own set of investments solution.

R Code Examples Multi-dimensional/Panel Data

A DataFrame for Javascript

Julia Data Science ⭐ 20

Data science and numerical computing with Julia

Fast and customizable framework for automatic and quick Causal Inference in Python

Statistics For Data Science ⭐ 19

Statistics for Data Science, published by Packt

Financial Indexes Correlation ⭐ 19

Analyze financial data correlations

Data Science Practice ⭐ 19

数据科学实践 | data science practice

Statistics For Data Science Using Python ⭐ 19

Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta

Data Science Ebooks ⭐ 19

Data Science E-books, Interview Resources and Cheat-sheets

60 Days Of Data Science And Ml ⭐ 18

60 Days of Data Science and ML

Road To Data Science In 50 Days ⭐ 18

Polypoly ⭐ 18

Helper functions for orthogonal polynomials in R

Er Evaluation ⭐ 18

An End-to-End Evaluation Framework for Entity Resolution Systems

Data Science Resources ⭐ 18

A guide to getting started with Data Science and ML.

Data Science Study Materials ⭐ 18

"Big data is at the foundation of all the megatrends that are happening." – Chris Lynch

Learning And Experimenting_data Science ⭐ 18

Journey through data analysis

Hackers_introduction_to_machine_learning ⭐ 17

A running collection of resources for people who want to get started in machine learning and data science

Data Science Beginners Guide ⭐ 17

📊A Beginner's Guide To Data Science. 📈 📉Start your self-learning journey into the world of data right now.

Mitx_capstone_2 ⭐ 17

This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience

A Guide To Machine Learning In R ⭐ 17

A series of articles to get started into the field of Machine Learning with R language

Powerlaws ⭐ 17

Java library for the analysis of power law distributed data. Scroll down for README.

Karpov_courses ⭐ 16

🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/

Casual_inference ⭐ 16

Do causal inference more casually.

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Infinite_stories_with_data ⭐ 16

This repo consists of my analysis of random datasets using various statistical and visualization techniques.

Sknifedatar ⭐ 16

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

User manual of the targets R pacakge

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

Conjugate ⭐ 15

Bayesian Conjugate Models in Python

Data Scientist In Python ⭐ 15

This repository contains notes and projects of Data scientist track from dataquest course work.

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Interactive Simple Linear Regression ⭐ 14

A PureScript, browser-based implementation of simple linear regression.

Book Of Apps for Statistics Teaching

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Data Science Sandbox ⭐ 14

Code and resources to serve as a starting point for data science projects.

Wharton_stat_422_722 ⭐ 14

The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017

Generation of Synthetic Populations Library

Notes of CS Concept & Code Snippet

Data Science Resources ⭐ 14

List 📋 of Books📚, Courses 💻 for Data Science 📊

Datasciencecurriculum ⭐ 14

A curated list of free courses from reputable universities that meet the requirements of a Data Science undergraduate curriculum, minus general education. With projects, support materials in an organized structure.

Data Science ⭐ 13

A repository to showcase the upskilling of self in theoretical & applied aspects of data science during the ongoing sabbatical of 23 months(Jan. 2022 - Nov 2023*) along with hand written notes. It's an "attempt" to pursue masters in data science using Internet as an open university.

Know Ais ⭐ 13

🥇🏆🏅 KnowAIS is a winning project in The UN Big Data Hackathon 2022 Expert Track, as well as being awarded The Best Visualization.

Mltraining ⭐ 13

Machine Learning Training for Data Science and AI ... Bootcamp in progress

Omigo Data Analytics ⭐ 13

Data Analytics Library for Python

Movie Stats ⭐ 13

🎬 analyzing three decades of movie data

Correlationmatrix ⭐ 13

correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations

R - Fetch, build and deploy.

Time_series_anomaly_detection_examples ⭐ 13

Several examples of anomaly detection algorithms for time series data.

Data Analyst Nanodegree ⭐ 12

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

Dataquest ⭐ 12

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

Teach Ds Latinr ⭐ 12

Materials for the "Teaching Data Science" workshop at Latin R 2019

GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.

Python package for rounding floats and complex numbers in complex Python objects.

📈 Useful notes and personal collections about statistics.

Crops Parser ⭐ 12

🌱🍎🍆 A shell script to parse the data by the Food and Agriculture Organization of the United Nations on crops/fruits.

Data Science Fundamentals ⭐ 12

Data Science lab materials for CDLE

Cfml_tools ⭐ 12

My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context

Est Computacional 2018 ⭐ 12

Notas de la clase de estadística computacional, maestría en Ciencia de Datos, ITAM

Sdss2019 ⭐ 12

Presentation for short course at Symposium on Data Science and Statistics in May 2019

Data Science ⭐ 11

"All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration." ― Damian Mingle

Teach Ds ⭐ 11

Csama2015 ⭐ 11

Course material for CSAMA 2015: Statistics and Computing in Genome Data Science

Exploratory Data Analysis App ⭐ 11

Analyze the descriptive statistics and the distribution of your data. Preview and save your graphics.

Latentcor ⭐ 11

latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).

A helper package for Machine Learning and Deep Learning Algorithms

100 Days Of Data Science ⭐ 11

100 days of Data Science Journey.

Teach Data Science ⭐ 11

Materials for the Teaching Data Science workshop at JSM 2019

Readings ⭐ 11

A curated list of suggested reading materials.

Datascience ⭐ 11

Coleção de recursos sobre Ciência de Dados com Python.

Causalglm ⭐ 11

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Python/C++ implementation of Hartigan & Hartigan's dip test, based on Martin Maechler's R package

Rxjs Stats ⭐ 11

Moved to @bottlenose/rxstats (https://github.com/buccaneerai/bottlenose)

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

Bayesabtest ⭐ 10

A simple to use AB testing framework that lets anyone perform bayesian data analysis

Cap5768 Introduction To Data Science ⭐ 10

Data science with Pandas and NumPy: EDA, binning, distribution functions, simulations, regression analysis

Free Resources Books Papers ⭐ 10

Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.

Datasciencetrack ⭐ 10

Materials to study data science and related subjects

Programowanie_w_jezyku_r ⭐ 10

M. Gągolewski, Programowanie w języku R, PWN, 2016

Various Data Science Scripts ⭐ 10

A collection of coding scripts, notes, and mini-projects with reference to a series of Data Science, Web Development, programming concepts and foundations, and miscellaneous tech topics.

Datasetops ⭐ 10

Fluent dataset operations, compatible with your favorite libraries

Pga Tour Data Science Project ⭐ 10

Whatscloud ⭐ 10

WhatsCloud is an android app which allows you to analyze your WhatsApp chat history on the fly with only one click

Coinflip ⭐ 10

Randomness testing for humans

Routines for exploratory data analysis.

Generalized Additive Models ⭐ 10

Generalized Additive Models in Python.

Mdeeplearn ⭐ 10

📚 🍑 Machine Learning and Deep Learning with examples.

Doubleml Serverless ⭐ 10

DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

Helsinki Open Data Science ⭐ 10

A DataCamp course for the University of Helsinki

Bellevue_dsc ⭐ 10

A Repository for the Bellevue University Data Science Program Syllabi and Instruction Philosophies

Fasttrees ⭐ 9

A fast and frugal tree classifier for sklearn

Data Science Interview Prep ⭐ 9

This is a completely open-source repo of interview questions and answers for people preparing for such interviews. This is maintained by you and you can send the questions that you faced during interviews.

List_of_r_packages_for_data_scientist ⭐ 9

List of useful R packages for data scientists

Udacity Bertelsmann Data Science Challenge Scholarship 2018 ⭐ 9

This is a repo for my Bertelsmann Data Science Scholarship Challenge: notes, exercises, quizzes.

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