199 Open source projects that are alternatives of or similar to student-grade-analytics

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Ways of doing Data Science Engineering and Machine Learning in R and Python

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

A machine learning approach to classify songs by mood.

For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need!

Learning to create Machine Learning Algorithms

MLOps Case Study

data⎰describe: Pythonic EDA Accelerator for Data Science

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

The Gretel Python Client allows you to interact with the Gretel REST API.

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

Nanodegree programs https://www.udacity.com/nanodegree

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

No description or website provided.

Insurance fraud claims analysis project

Population assignment analysis using R

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Powerful product analytics for data teams, with full control over data & models.

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

The Entire Transcript from the Office in Tidy Format

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Lecture content for Intro to Data Science 2018

Baixa as planilhas de salários de magistrados, extrai os contracheques, limpa e exporta pra CSV

Single cell analysis in the browser

Impy is a Python3 library with features that help you in your computer vision tasks.

VS Code Jupyter extension

Repository for the course on Udemy - Python for Data Science and Machine Learning Bootcamp , Jose Portilla

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Kernel Density Estimation in Python

A Clojure high performance data processing system

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

Understanding emotions from audio files using neural networks and multiple datasets.

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A fast xgboost feature selection algorithm

Tool for visual exploration of complex data.

Step-by-step exploratory movement data analysis protocol in a Jupyter notebook

Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality

Python library for creating data pipelines with chain functional programming

Functionalities in Excel translated to Python

A repository to keep track of all the code that I end up writing for my blog posts.

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Complete-Life-Cycle-of-a-Data-Science-Project

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

A Toolkit for Interactive Statistical Data Visualization

🌟 A curated list of Awesome Shiny Apps for Statistics (ASAS)🌟

Visualize and compare datasets, target values and associations, with one line of code.

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

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

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Kaggle Kernels (Python, R, Jupyter Notebooks)

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

I am sharing my Journey of 66DaysofData in Natural Language Processing.

Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

Data visualization tool for wikis evolution

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.