1376 Open source projects that are alternatives of or similar to datascienv

Alpine Container for Machine Learning

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

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Open Machine Learning Course

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

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

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

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

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

A New, Interactive Approach to Learning Data Visualization

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

Automatic machine learning for tabular data. ⚡🔥⚡

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

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

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

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.

Alvito - An Algorithm Visualization Tool for Python

Explorando aspectos fundamentais da matemática com Python e Jupyter

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

Data Science with Python

Use AI to generate a optimized stock portfolio

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

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

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

《利用Python进行数据分析·第2版》

📓 deepleaning and cv notes.

微信机器人，基于Python itchat接口功能实例展示：01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Docker Start Guide with Python Development Environment

notebooks with example for machine learning examples

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

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

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

For extensive instructor led learning

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

📚 Various cheatsheets in PDF

🌳 Stacked Gradient Boosting Machines

Parallel computing with task scheduling

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

🍊 📊 💡 Orange: Interactive data analysis

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Precompiled packages for AWS Lambda

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

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

Credit Risk analysis by using Python and ML

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

Achieve your marketing goals with the data analytics power of Python

This repository consists of all my Machine Learning Projects.

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

Python Cheat Sheet NumPy, Matplotlib

A constantly updated python machine learning cheatsheet

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。

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

My workshop on machine learning using python language to implement different algorithms

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

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.