442 Open source projects that are alternatives of or similar to machine-learning-scripts

Material for the MASH course on introduction to scikit-learn

Colour - Jupyter Notebooks

Pandas is a powerful tool for data exploration and analysis (including timeseries).

DoubleML - Double Machine Learning in Python

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Tool for visualizing and empirically analyzing information encoded in binary files

🦅Hyperparameter optimization for machine learning pipelines 🦅

a python interface to OC1 and other oblique decision tree implementations

Predicting the winner of 2019 cricket world cup using random forest algorithm

A python package to assess cluster tendency

This project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches through machine learning.

NYC scikit-learn sprint (Sep 2018)

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

⭐ An anomaly-based intrusion detection system.

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

NLP in python Vector Space Modelling and document classification NLP

Conversational text Analysis using various NLP techniques

Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

Solution of the Titanic Kaggle competition

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

Predicting Google’s stock price using regression

An extension for Jupyter notebooks that allows running notebooks inside a Docker container and converting them to runnable Docker images.

Backup & export all Evernote notes and notebooks

A collection of online books for data science, computer science and coding!

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

Titanic assignment on Kaggle competition

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

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

A repo that gives a hands-on introduction to machine learning using TensorFlow 2.0

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Main repository from contributions from my blog

My dataquest project solutions

Object detector from HOG + Linear SVM framework

Machine learning toolkits with Python

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Machine Learning Operator & Controller for Kubernetes

Manage your XYZ Hub or HERE Data Hub spaces from Python.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A Streamlit application to play with machine learning models directly from the browser

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

machine_learning_examples

A defined interface for working with a cache of executed jupyter notebooks

Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

X lines of Python

Machine Learning in .NET Core.

This is the companion repo of the O'Reilly book "Python for Excel".

This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.

به فارسی، برای مشارکت scikit-learn

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

An introductory tutorial about leveraging Ray core features for distributed patterns.

Using machine learning libraries to analyze NBA data

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

Dockerize and deploy machine learning model as REST API using Flask

Занятия по Machine Learning клуба AI Community Innopolis

ADAM python client and notebooks

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Fast Best-Subset Selection Library