6671 Open source projects that are alternatives of or similar to Machine Learning

Alpine Container for Machine Learning

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

📓 deepleaning and cv notes.

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

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

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

中文 Python 笔记

Python notes in Turkish.

Credit Risk analysis by using Python and ML

Open Machine Learning Course

For extensive instructor led learning

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

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.

This repository consists of all my Machine Learning Projects.

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

공공데이터 분석

Kaggle Struggle

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

Association Rule Mining from Spatial Data for Crime Analysis

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

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

📚 Various cheatsheets in PDF

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。

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

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

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

Numerical & Scientific Computing with Python Tutorial

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

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

Docker Start Guide with Python Development Environment

Jupyter notebooks from the scikit-learn video series

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

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

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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

Grokking Deep Reinforcement 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

《利用Python进行数据分析·第2版》

Finger Detection and Tracking using OpenCV and Python

Joyplots in Python with matplotlib & pandas 📈

This repository helps you understand python from the scratch.

機器學習: Python

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

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

A workshop for scientific computing in Python. ( December 2017 )

Wavelet scattering transforms in Python with GPU acceleration

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Python package for Bayesian Machine Learning with scikit-learn API

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

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

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

Stanford Machine Learning course exercises implemented with scikit-learn

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

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

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

My blogs and code for machine learning. http://cnblogs.com/pinard