Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.

A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.

This is the machine learning I have done in The University of British Columbia

Titanic: Machine Learning from Disaster

Analysis of Contraceptive Discontinuation using machine learning

Predicting house prices in California using machine learning techniques.

Football Prediction Model

In this project, five different machine learning (ML) models are trained and compared in term of predicting the early-stage diabetes. A data collected in hospital Frankfurt, Germany containing 2000 patients’ information have been used in this study. RF, NB, SVM, KNN, and LR are the five models used for predicting the diabetes.

Practical Approach to AI (example testing)

Prediction of optimum number of clusters using K-Means Clustering on Iris dataset

Study exercises for learning machine learning algorithms

A repository of machine learning projects

This project involves training two different machine learning models(Logistic Regression, Random Forest Classifier) in order to detect and classify breast cancer as benign(B) or maliant(M).

🖥️🔬 Project employing data science and machine learning techniques to visualise and classify an open dataset of benign and metastatic breast cancer samples.

This repo includes assignments for the Machine Learning-1 course at the Tech Leaders Program at Plaksha University

Trying out different ways to classify handwritten digits

A price and location recommender implemented with the help of Zomato Bangalore's data. The Location recommended will be based upon places found in Bangalore.

This project is developed using machine learning with python. It takes the audio input as the respective disease and finds the nearest hospital that is currently available along with the doctor's detail

Machine learning competitions