1440 Open source projects that are alternatives of or similar to online-course-recommendation-system

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Python Clustering Algorithms

My dataquest project solutions

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

📖 [译] Pandas 中文文档（待校对）

Missing data visualization module for Python.

An intuitive implementation of spectral clustering on matlab

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

sources for daal4py - a convenient Python API to oneDAL

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

Python数据分析入门，数据分析师入门

Jupyter notebook and datasets from the pandas Q&A video series

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Build a data visualization dashboard with simple snippets of python code

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Analyze Data with Pandas-based Networks. Documentation:

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

Visualizer for pandas data structures

Introduction to Data Science

model-describer : Making machine learning interpretable to humans

a delightful machine learning tool that allows you to train, test, and use models without writing code

Lending Club Loan data analysis

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

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

General Assembly's 2015 Data Science course in Washington, DC

This 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.

Code, Notebooks and Examples from Practical Business Python

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

What's in your data? Extract schema, statistics and entities from datasets

JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Extract data from a wide range of Internet sources into a pandas DataFrame.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Manipulate JSON-like data with NumPy-like idioms.

📖 每一个伟大的思想和行动都有一个微不足道的开始

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Data analysis library for JavaScript built with Ramda

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

Taller SparkR para las Jornadas de Usuarios de R

An introductory workshop on pandas with notebooks and exercises for following along.

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

cuDF - GPU DataFrame Library

oneAPI Data Analytics Library (oneDAL)

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

A high performance implementation of HDBSCAN clustering.

Created this new Repository for Open Source Contribution for Beginners

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Implementing Genetic Algorithm on K-Means and compare with K-Means++

data wrangling simplicity, complete audit transparency, and at speed

A guide to getting started with Data Science and ML.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Open Machine Learning Course

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

Repository for the projects needed to complete the Data Analyst Nanodegree.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Short programming tutorials pertaining to data analysis.