1332 Open source projects that are alternatives of or similar to Machine-Learning-in-Python-Workshop

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

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

📓 deepleaning and cv notes.

Final Project of the Udacity AI Programming with Python Nanodegree

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

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.

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

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Docker Start Guide with Python Development Environment

Open Machine Learning Course

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

Alpine Container for Machine Learning

notebooks with example for machine learning examples

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

Credit Risk analysis by using Python and ML

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

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

Simple neural networks based only on Numpy

Achieve your marketing goals with the data analytics power of Python

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。

공공데이터 분석

📚 Various cheatsheets in PDF

A pythonic interface for the ROOT libraries on top of the PyROOT bindings.

📖 [译] 数据科学和人工智能技术笔记

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

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

Programming with Python

Animations of random double pendulums

Parallel computing with task scheduling

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

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

Play around with Pixel in Python

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

Data science teaching materials

Numerical & Scientific Computing with Python Tutorial

Python Cheat Sheet NumPy, Matplotlib

A constantly updated python machine learning cheatsheet

This repository consists of all my Machine Learning Projects.

A Python module for time-frequency analysis

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

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

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

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

🍊 📊 💡 Orange: Interactive data analysis

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

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

No description or website provided.

Algorithmic trading using machine learning.

Matlab library for gradient descent algorithms: Version 1.0.1

Command line keyboard heatmap generator.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

sopt:A simple python optimization library

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

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

Implementation of key concepts of neuralnetwork via numpy

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

Win probability predictions for League of Legends matches using neural networks