4301 Open source projects that are alternatives of or similar to Data Science Ipython Notebooks

Open Machine Learning Course

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A collection of notebooks of my Machine Learning class written in python 3

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

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。

🍊 📊 💡 Orange: Interactive data analysis

Koalas: pandas API on Apache Spark

Algorithmic trading using machine learning.

Association Rule Mining from Spatial Data for Crime Analysis

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Parallel computing with task scheduling

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

A constantly updated python machine learning cheatsheet

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

中文 Python 笔记

Credit Risk analysis by using Python and ML

Explorando aspectos fundamentais da matemática com Python e Jupyter

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

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

Achieve your marketing goals with the data analytics power of Python

Alpine Container for Machine Learning

大数据入门指南 ⭐

Python Cheat Sheet NumPy, Matplotlib

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

📢 Ready to learn or review your knowledge!

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Precompiled packages for AWS Lambda

Carefully curated resource links for data science in one place

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

Apache Spark on AWS Lambda

Spark 2.0 Python Machine Learning examples

Facial Expression Recognition

Nested Sampling post-processing and plotting

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

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.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

《利用Python进行数据分析·第2版》

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

All the slides, accompanying code and exercises all stored in this repo. 🎈

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

My dataquest project solutions

No description or website provided.

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

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

A complete docker package for deploying django which is easy to understand and deploy anywhere.

Course taught at the University of Bordeaux in the academic year 2017 for PhD students.

Data Science with Python

Building Large-Scale AI Applications for Distributed Big Data

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang