Indian Currency detector using Deeplearning Image classification using transfer Learning Resenet50 model- 10 , 100 and 500.

In this project, a TFID Passive aggressive classifier is designed to detect fake news.

The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.

In this project, we use CNN to classify Fashion MNIST data into different categories.

This project is to classify breast cancer using SVM-Classifier and further improving the model using GridSearch

Lane Detection System using OpenCV and Python

Using Apriori Algorithm for Market Basket Optimisation

The project main goal is to obtain a relationship (model) between the Annual salary and car purchasing amount using Artificial Neural Network(ANN).

The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.

In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews data

In this project, a Deep Network known as LeNet will be used for traffic sign images classification.

This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)

In this project, a movie recommendation system is built using Item-based Collaborative Filter.

Predicting the Crime Rate in Chicago using Facebook's Open Source Software "Prophet".