A computer vision-based waste identifier utilizes advanced image processing techniques and machine learning

Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.

A model for binary classification of credit card data as fraudulent or legitimate

This is heart disease prediction project that contains different methods such as FNN with Multiclass Classification, Binary Classification, Cross-Validation etc.

Binary Classification of mnist data using Stochastic Gradient Descent(SGD)

Heart Failure Prediction using Machine Learning Techniques

Prediction of diabetes based on the signs and symptoms using machine learning algorithms

Analysis of the credit history of a user and to predict if the user is a suitable candidate for a small ticket loan.

Duke University project: Data analysis in Excel (statistical analysis)

Histogram based classification and prediction of annual rainfall from Kerala dataset

Loan Default Prediction Model: A machine learning project that leverages historical lending data to create predictive models for assessing loan default risk, aiding financial institutions in making informed lending decisions.

Submission for Kaggle Competition "Real or Not? NLP with Disaster Tweet" (Top 10%) using SVM's, LSTM's, and BERT

A challenge on Predictive Analytics in Build With AI Hackathon 2021: A binary classifier to predict the entrepreneurial competency in University students

The code of the random forest project I shared on my Medium account

Social media fake accounts and spam accounts have become a huge problem these days. Some had spammed me twice on Instagram. Here I have used various Machine learning techniques to spot the fake/spam accounts

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

Kyphosis disease prediction using Fully Connected Neural Networks (FCNNs) model and XGBoost model with GridSearchCV

Machine Learning Analysis and Prediction of Titanic Passenger Survival: A comprehensive project employing data preprocessing, exploratory analysis, and predictive modeling to unveil insights and predict outcomes from the Titanic disaster dataset.