723 Open source projects that are alternatives of or similar to DS-Cookbook101

Open Machine Learning Course

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.

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.

Parallel computing with task scheduling

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

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.

Alpine Container for Machine Learning

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

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.

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

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

Use AI to generate a optimized stock portfolio

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

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

Association Rule Mining from Spatial Data for Crime Analysis

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

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

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

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

Code, Notebooks and Examples from Practical Business Python

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

Python Cheat Sheet NumPy, Matplotlib

Algorithmic trading using machine learning.

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

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

Data Science with Python

SciKIt-learn Pipeline in PAndas

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

⭐ An anomaly-based intrusion detection system.

ADAM - A Question Answering System. Inspired from IBM Watson

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

My dataquest project solutions

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

AsyncIO serving for data science models

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

brief introduction to Python for machine learning

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

For extensive instructor led learning

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

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

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

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

Machine Learning for Spot Prices

Credit Risk analysis by using Python and ML

📚 Various cheatsheets in PDF

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

Kaggle Struggle

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

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.

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

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

🍊 📊 💡 Orange: Interactive data analysis

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

Tool for visualizing and empirically analyzing information encoded in binary files

Disease Prediction based on Symptoms.

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

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.

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