Python
Machine Learning
Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms
Comparative Analysis Study for Air Quality Prediction in Smart Cities Using Regression Techniques
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers
Crop Yield Prediction Using Random Forest Algorithm
Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model
Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm
Diagnosis of Liver Disease using ANN and MLAlgorithms with Hyperparameter Tuning
The aim of this project is to develop a system for the diagnosis of liver disease using Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms with hyperparameter tuning. The project focuses on leveraging advanced models and optimization techniques to enhance predictive capabilities, aiding in the early detection and effective management of liver disease.
Drought Forecasting: Application of Ensemble and Advanced Machine Learning Approaches
E-Commerce Fraud Detection Using Generated Data From BANKSIM Using Machine Learning
Efficient Machine Learning Approach For Crime Detection In India
The goal of this project is to create a reliable model for predicting droughts in regions that are vulnerable to them. Using Indian rainfall data, the project applies ARIMA and SARIMAX models to forecast droughts. The project aims to support better planning and response strategies, helping communities prepare for and mitigate the effects of droughts.
