819 Open source projects that are alternatives of or similar to Prince

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

A repository for recording the machine learning code

H2Oai GPU Edition

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

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

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

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

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

Kaggle Struggle

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

⭐ An anomaly-based intrusion detection system.

SciKIt-learn Pipeline in PAndas

For extensive instructor led learning

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

Credit Risk analysis by using Python and ML

Parallel computing with task scheduling

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

📚 Various cheatsheets in PDF

🍊 📊 💡 Orange: Interactive data analysis

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

Machine Learning for Spot Prices

Implementations of machine learning algorithm by Python 3

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

My dataquest project solutions

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

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

ADAM - A Question Answering System. Inspired from IBM Watson

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

Open Machine Learning Course

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Alpine Container for Machine Learning

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

Disease Prediction based on Symptoms.

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

brief introduction to Python for machine learning

Python Cheat Sheet NumPy, Matplotlib

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.

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

Code, Notebooks and Examples from Practical Business Python

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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.

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

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.

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

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

Tools that make working with scikit-learn and pandas easier.

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

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

Streaming, Memory-Limited, r-truncated SVD Revisited!

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

Use AI to generate a optimized stock portfolio

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

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

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.

AsyncIO serving for data science models

Association Rule Mining from Spatial Data for Crime Analysis

Algorithmic trading using machine learning.

Data Science with Python