This project demonstrates how a decision tree can be created using Tailwind CSS.

This repository contains my AVETTI Commerce internship's reports and predicting accuracy of the models.

Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds

This is a menu based chatbot which predicts whether the user is having heart disease or not by analyzing the information provided by user with the help of machine learning algorithm called decision tree. It also has some additional features like providing diet plan, causes and precaution needed to be taken and natural remedies.

The use of machine learning techniques in medicine. I wrote ML software for my thesis that can predict heart disease based on patient medical data.

A Comprehensive Study of Rice Production and Price in Bangladesh: Geospatial Visualization and Predictive Modeling Techniques.

Heart Diseases Prediction using scikit-learn

the study of classification using logistic regression, decision trees and random forest

Here I developed a machine learning model for predicting personality traits. It analyzes personal behavior data and uses algorithms like KNN, Logistic Regression, Decision Tree to classify individuals based on traits. It automates the personality assessment process, providing insights for social media, advertising, and recruitment.

Sports Analytics in Python

Sports Analytics in R (Regularization and DecisionTree based approaches for Regression problems)

Aid Megaline, a mobile carrier, in developing a model that will analyze subscribers' behavior. Once analyzed, subscribers on a legacy plan can be recommended one of Megaline's newer plans: Smart or Ultra.

Model predicting whether a bank customer will churn or not

Exploratory data analysis and predictive modeling using Tinder matching data. Model predicts whether you would find a relationship or not. The EDA was showcased with a web application, in collaboration with software engineer students. This project was part of Practicum Code Pudding 2.0 competition.

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

Opis teorii, algorytmów oraz przykładów zastosowania drzew decyzyjnych.

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

The IBM HR Attrition Case Study is a scenario in which a fictitious dataset is used to identify key factors that may predict whether an employee is likely to leave the company or not.

Data Science/machine learning methods performed on the Titanic dataset

Building a decision tree. Determining the factors that have the biggest impact on the project's success on the platform. Results visualization (dashboard). / Построение дерева решений. Определение факторов, наибольшим образом влияющих на успех проекта на платформе. Визуализация результатов с помощью дэшборда.