Now its time to work on a Project based on a real life Business Problem. In this Project, we will be using all the skills that you have acquired throughout this course. Problem Statement Your client is a retail banking institution. Term deposits are a major source of income for a bank

This repository is an analysis of the classification of sentiment reviews from users of the marketplace application, where the word weighting methods used are TFIDF and Word2Vec. Meanwhile, the classification method used is Support Vector Machine (SVM). There are two kernels used in this analysis, namely the kernel Linear and the kernel Radial B…

Machine learning Algorithms but the implementations done by me and no external libraries used

Predicting diabetes through the LMCH Diabetes Dataset through Multilayer Perceptron, Random Forest and Support Vector Machine

A Python-based system to predict diabetes using Machine Learning with Support Vector Machine (SVM). Includes data preprocessing, model training, and evaluation to achieve high prediction accuracy.

This project uses data mining to analyze student performance and predict pass/fail outcomes.

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.