Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Last update: Nov 22, 2021

Overview

Linear Models

Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers.

Linear Regression

Optimizer: Square Least
Regularizer: None

Lasso Regression

Optimizer: Gradient Decent
Regularizer: L1

Ridge Regression

Optimizer: Gradient Decent
Regularizer: L2

Owner

Keivan Ipchi Hagh

ISTP-A | Kaggle Contributor | ML Enthusiast

GitHub Repository

Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

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2 Apr 18, 2022

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

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The Ultimate FREE Machine Learning Study Plan

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AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

English | 简体中文 AutoX是什么？ AutoX一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色: AutoX在多个kaggle数据集上，效果显著优于其他解决方案(见效果对比)。简单易用: AutoX的接口和sklearn类似，方便上手使用。

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Model factory is a ML training platform to help engineers to build ML models at scale

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A demo project to elaborate how Machine Learn Models are deployed on production using Flask API

This is a salary prediction website developed with the help of machine learning, this makes prediction of salary on basis of few parameters like interview score, experience test score.

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jaxfg - Factor graph-based nonlinear optimization library for JAX.

Factor graphs + nonlinear optimization in JAX

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Machine-Learning with python (jupyter)

Machine-Learning with python (jupyter) 머신러닝 야학 작심 10일과 쥬피터 노트북 기반 데이터 사이언스 시작 들어가기전 https://nbviewer.org/ 페이지를 통해서 쥬피터 노트북 내용을 볼 수 있다. 위 페이지에서 현재 레포 기

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Adaptive: parallel active learning of mathematical functions

adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu

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A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

Using python and scikit-learn to make stock predictions

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Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Related tags

Overview

Linear Models

Linear Regression

Lasso Regression

Ridge Regression

Owner

Keivan Ipchi Hagh

Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

A library of extension and helper modules for Python's data analysis and machine learning libraries.

The Ultimate FREE Machine Learning Study Plan

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Model factory is a ML training platform to help engineers to build ML models at scale

A demo project to elaborate how Machine Learn Models are deployed on production using Flask API

jaxfg - Factor graph-based nonlinear optimization library for JAX.

Machine-Learning with python (jupyter)

Adaptive: parallel active learning of mathematical functions

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Automatic extraction of relevant features from time series:

Python implementation of Weng-Lin Bayesian ranking, a better, license-free alternative to TrueSkill

A benchmark of data-centric tasks from across the machine learning lifecycle.

Learning --> Numpy January 2022 - winter'22

Distributed deep learning on Hadoop and Spark clusters.

MICOM is a Python package for metabolic modeling of microbial communities

Turns your machine learning code into microservices with web API, interactive GUI, and more.

Both social media sentiment and stock market data are crucial for stock price prediction

Practical Time-Series Analysis, published by Packt

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.

Related tags

Overview

Linear Models

Linear Regression

Lasso Regression

Ridge Regression

Owner

Keivan Ipchi Hagh

Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

A library of extension and helper modules for Python's data analysis and machine learning libraries.

The Ultimate FREE Machine Learning Study Plan

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Model factory is a ML training platform to help engineers to build ML models at scale

A demo project to elaborate how Machine Learn Models are deployed on production using Flask API

jaxfg - Factor graph-based nonlinear optimization library for JAX.

Machine-Learning with python (jupyter)

Adaptive: parallel active learning of mathematical functions

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Automatic extraction of relevant features from time series:

Python implementation of Weng-Lin Bayesian ranking, a better, license-free alternative to TrueSkill

A benchmark of data-centric tasks from across the machine learning lifecycle.

Learning --> Numpy January 2022 - winter'22

Distributed deep learning on Hadoop and Spark clusters.

MICOM is a Python package for metabolic modeling of microbial communities

Turns your machine learning code into microservices with web API, interactive GUI, and more.

Both social media sentiment and stock market data are crucial for stock price prediction

Practical Time-Series Analysis, published by Packt

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。