1122 Open source projects that are alternatives of or similar to Dataprep

Always know what to expect from your data.

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

Create HTML profiling reports from pandas DataFrame objects

A day to day plan for this challenge. Covers both theoritical and practical aspects

data⎰describe: Pythonic EDA Accelerator for Data Science

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

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

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

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

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

🛠️ 📊 Tools for Exploring and Comparing Data Frames

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

Python API for Intelligent Visual Data Discovery

📢 Ready to learn or review your knowledge!

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

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

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.

A list of software and papers related to automatic and fast Exploratory Data Analysis

Beautiful visualizations of how language differs among document types.

Functionalities in Excel translated to Python

R package for exploratory data analysis

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Automate Data Exploration and Treatment

[HELP REQUESTED] Generalized Additive Models in Python

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

A graph-based functional API for building complex scikit-learn pipelines.

ELKI Data Mining Toolkit

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Reproducible Data Science at Scale!

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Log outgoing HTTP requests in ruby

A proofreader for your data

another book on data science

Workflows and interfaces for neuroimaging packages

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

Practical Data Science with Ruby based tools.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Lazydata: Scalable data dependencies for Python projects

Package manager and build abstraction tool for FPGA/ASIC development

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

An intro to Python & programming for wanna-be data scientists

Statistical Machine Intelligence & Learning Engine

VIP cheatsheets for Stanford's CS 230 Deep Learning

Features selector based on the self selected-algorithm, loss function and validation method

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Data Science Course in a Box

NFStream: a Flexible Network Data Analysis Framework.

Read data from, write data to, and modify the formatting of Google Sheets

A list of Twitter datasets and related resources.

Easy pipelines for pandas DataFrames.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

An open-source plotting library for statistical data.

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

The MongoDB Spark Connector