Although digital transactions in India registered a 51% growth in 2018-19, their safety remains a concern. Fraudulent activities have increased severalfold, with around 52,304 cases of credit/debit card fraud reported in FY'19 alone. Due to this steep increase in banking frauds, it is the need of the hour to detect these fraudulent transactions …

Image processing with python and Machine learning. This is about analyzing Ayurveda plants and detection through uploading an image of plant leaves or flowers.

This project focuses on predicting loan approval using machine learning algorithms. The model takes various customer features as input and predicts whether a loan application will be approved or not

This repository consists of various projects based on Machine Learning and NLP.

The objective of this endeavor is to develop a classification model utilizing a Decision Tree algorithm to predict whether a client will subscribe (yes/no) to a term deposit.