Developed a robust brain stroke prediction model leveraging machine learning techniques. The Random Forest classifier has 90% classification accuracy, which was the highest (among all the machine learning classifiers).

This is a project where I use the Random Forest Regression and XGBoost Machine Learning Techniques to held predict the Sales Price of Houses..

Predicting breast cancer in women in the next five years

The Loan Prediction project aims to determine whether a loan should be approved or rejected by considering various factors. It uses various machine learning algorithms to reach out the best result.

Salary Prediction with Machine Learning

Build Models using Machine Learning Algorithms

App to count and identify crops in a raster with machine learning

Iris flower classification using machine learning algorithms.

Machine Learning with Python Projects from freeCodeCamp

This project uses machine learning classifier algorithms to predict whether the patient is suffering from cancer or not.

Heart Disease Prediction using Machine Learning (Classification Use Case)

Simple machine learning projects

Machine Learning for Breast Cancer Prediction - Using Logistic Regression, ANN, SVM

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

Best practices for solving Machine Learning Regression problems

This short project focuses on creating a Machine learning model to predict the impact of years of experience on salary

This project aims to predict Chronic Kidney Disease (CKD) using machine learning techniques. The prediction is based on the "Chronic_kidney" dataset.

The House Price Prediction project uses machine learning to forecast house prices based on input variables. It showcases the power of data science in the housing industry and emphasizes the importance of data-driven decision-making.

Challenges to training machine learning, intelligence artificial, deep learning and computer-vision algorithms