Machine Learning from Scratch

Last update: Jul 05, 2022

Overview

Machine Learning from Scratch

Author: Shengxuan Wang

From: Oregon State University

Content:

Building Machine Learning model from Scratch, without using any ML package. Only use data processing package, e.g. Pandas and Numpy, and a package I made: Popanda (see the detail here: https://github.com/shawn120/Popanda_Enhance_of_Pandas) Then using some data set to test them.

Models include Linear Regression, Logistic Regression, Perceptron, and Decision Tree.

Owner

ShawnWang

GitHub Repository

This project impelemented for midterm of the Machine Learning #Zoomcamp #Alexey Grigorev

MLProject_01 This project impelemented for midterm of the Machine Learning #Zoomcamp #Alexey Grigorev Context Dataset English question data set file F

1 Dec 18, 2021

The Ultimate FREE Machine Learning Study Plan

2.5k Jan 05, 2023

Library for machine learning stacking generalization.

stacked_generalization Implemented machine learning *stacking technic[1]* as handy library in Python. Feature weighted linear stacking is also availab

114 Jul 19, 2022

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

741 Dec 27, 2022

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S

3.5k Jan 01, 2023

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

K Means Algorithm What is K Means This algorithm is an iterative algorithm that partitions the dataset according to their features into K number of pr

1 Nov 01, 2021

This is the code repository for Interpretable Machine Learning with Python, published by Packt.

Interpretable Machine Learning with Python, published by Packt

299 Jan 02, 2023

Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.

Naive-Bayes Spam Classificator Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm. Main goal is to code a

1 Jun 27, 2022

Decision tree is the most powerful and popular tool for classification and prediction

Diabetes Prediction Using Decision Tree Introduction Decision tree is the most powerful and popular tool for classification and prediction. A Decision

1 Jan 23, 2022

Laporan Proyek Machine Learning - Azhar Rizki Zulma

Laporan Proyek Machine Learning - Azhar Rizki Zulma Project Overview Domain proyek yang dipilih dalam proyek machine learning ini adalah mengenai hibu

6 Mar 12, 2022

Continuously evaluated, functional, incremental, time-series forecasting

timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s

343 Jan 04, 2023

Automated Machine Learning with scikit-learn

auto-sklearn auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Find the documentation here

6.7k Jan 07, 2023

Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

Diabetes This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type

1 Mar 28, 2022

A simple application that calculates the probability distribution of a normal distribution

probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution

1 Oct 25, 2022

Mixing up the Invariant Information clustering architecture, with self supervised concepts from SimCLR and MoCo approaches

Self Supervised clusterer Combined IIC, and Moco architectures, with some SimCLR notions, to get state of the art unsupervised clustering while retain

9 Feb 13, 2022

Machine Learning from Scratch

Related tags

Overview

Machine Learning from Scratch

Content:

Owner

ShawnWang

This project impelemented for midterm of the Machine Learning #Zoomcamp #Alexey Grigorev

The Ultimate FREE Machine Learning Study Plan

Library for machine learning stacking generalization.

Adaptive: parallel active learning of mathematical functions

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

This is the code repository for Interpretable Machine Learning with Python, published by Packt.

Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.

Decision tree is the most powerful and popular tool for classification and prediction

Laporan Proyek Machine Learning - Azhar Rizki Zulma

Continuously evaluated, functional, incremental, time-series forecasting

Automated Machine Learning with scikit-learn

Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

A simple application that calculates the probability distribution of a normal distribution

Mixing up the Invariant Information clustering architecture, with self supervised concepts from SimCLR and MoCo approaches

A toolkit for geo ML data processing and model evaluation (fork of solaris)

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

A unified framework for machine learning with time series

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning.

Code for the TCAV ML interpretability project