9147 Open source projects that are alternatives of or similar to Machine Learning With Python

🍊 📊 💡 Orange: Interactive data analysis

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

This repository consists of all my Machine Learning Projects.

General Assembly's 2015 Data Science course in Washington, DC

IPython widgets, interactive plots, interactive machine learning

A Julia machine learning framework

Open Machine Learning Course

An open-source, low-code machine learning library in Python

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

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

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

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

Create HTML profiling reports from pandas DataFrame objects

A high-level machine learning and deep learning library for the PHP language.

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.

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

Statistical Machine Intelligence & Learning Engine

An Interactive Approach to Understanding Deep Learning with Keras

Alpine Container for Machine Learning

Machine Learning in R

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

Achieve your marketing goals with the data analytics power of Python

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

For extensive instructor led learning

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

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

R package to interface with OpenML

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.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

I will update this repository to learn Machine learning with python with statistics content and materials

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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

Credit Risk analysis by using Python and ML

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Python Cheat Sheet NumPy, Matplotlib

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.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Artificial Neural Networks for Scala

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

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

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A python library for decision tree visualization and model interpretation.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

notebooks with example for machine learning examples

The repository provides usefull python scripts for ML and data analysis

brief introduction to Python for machine learning

PHP-ML - Machine Learning library for PHP

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Multi-class confusion matrix library in Python

Carefully curated resource links for data science in one place

공공데이터 분석

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

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