Atlantic: Automated Data Preprocessing Framework for Machine Learning

Machine learning algorithm is used to detect whether the person will suffer from chronic kidney disease or not.

This project aims to predict the salary of employees based on various features using a decision tree classifier algorithm. By analyzing the provided dataset, the model can make accurate predictions if the salaries of new employees is above 100K or not.

Machine Learning Exercise: Exploring categorical plots, LabelEncoder, pipelines and GridSearchCV using Telco Customer Churn data from Kaggle

[CIKM 2021] The source code of "Fully Hyperbolic Graph Convolution Network for Recommendation"

Here are some fun projects to learn ML using Handson approach

Diamond Price Prediction Using Machine Learning (Regression Use Case)

Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...

This repository contains introductory notebooks for support vector machine

CyberSoft Machine Learning 03 - Overview

Exploratory Data Analysis Part-2

Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.

Unofficial but extremely useful Label and One Hot encoders.

Moral decision-making: Moral Machine experiment (MM) in relation to Legal Systems of countries Open Data Barometer (ODB)

ExcelR_Assignment---Naive-Byes---Assignment---12

Repositório com pratica de ETL

Logistic regression is a supervised machine learning algorithm mainly used for classification.

GridSearchCV For Model optimization

Assignment: ICC WorldCup 2015 PlayCricket - Decision Tree

Developed a text classification model to classify SMS as spam or nonspam using Python.