Implementation of basic ML algorithms from scratch in python...

Learning to create Machine Learning Algorithms

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authenti…

In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.

Machine Learning algorithms implementation using Python

Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home

Academic project for Advances in Data Science and Architecture course

All my Machine Learning Projects from A to Z in (Python & R)

Los árboles de decisión son uno de los algoritmos clásicos de machine learning ya que nos ayudan a visualizar las predicciones hechas por nuestro modelo. En este tutorial vemos su uso para regresiones lineares y clasificación, así como herramientas de ensamble como bagging y boosting.

Natural Gas Price Prediction System Using IBM Watson services

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

This toolbox offers 7 machine learning methods for regression problems.

Implements Decision tree classification and regression algorithm from scratch in Python.

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue…

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

Decision-Tree

Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)

Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.