470 Open source projects that are alternatives of or similar to abess

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Machine Learning Course @ Santa Clara University

Benchmarking and Visualization Toolkit for Penalized Cox Models

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

ICDSS Machine Learning Workshop Series: Linear Models

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

For extensive instructor led learning

100 Days of ML Coding

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

A MATLAB toolbox for classifier: Version 1.0.7

Machine Learning in .NET Core.

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

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

Demo of basic machine learning models in python with Jupter Notebook

NYC scikit-learn sprint (Sep 2018)

My dataquest project solutions

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Using machine learning libraries to analyze NBA data

Machine learning toolkits with Python

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

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

Titanic assignment on Kaggle competition

Conversational text Analysis using various NLP techniques

Implementations of machine learning algorithm by Python 3

A clustering tutorial with scikit-learn for beginners.

Predicting Google’s stock price using regression

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

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.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

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

Solve many kinds of least-squares and matrix-recovery problems

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

Basis Function Expansions for Julia

Using Computer with your Statistics Major Course

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

Dockerize and deploy machine learning model as REST API using Flask

Classifying the Blur and Clear Images

Information Retrieval in High Dimensional Data (class deliverables)

🦅Hyperparameter optimization for machine learning pipelines 🦅

Machine Learning Operator & Controller for Kubernetes

bitcoin prediction algorithms

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

ML algorithm for real-time classification

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

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

a python interface to OC1 and other oblique decision tree implementations

Software platform for clinical neuroimaging studies

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

DoubleML - Double Machine Learning in Python

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

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

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Machine Learning for Spot Prices

Solution of the Titanic Kaggle competition

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.

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