Paras Yadav

Building a machine learning model for spam SMS message classification, then create an API for the model, using Flask, the Python micro framework for building web applications.

Applied Linear Regression for Trading Business Based Company to Back-test Pair Trading Mean-Reversion Strategy on 200+ stocks using various packages like NSEPY, PANDAS, MATPLOTLIB and many more.

Financial Cross-Selling project where the objective is to develop business and market strategies for targeting customers which are more likely to buy insurance products.

An Assignment task .

More than 25% of entire revenue in E-Commerce is attributed to apparels & accessories. A major problem they face is categorizing these apparels from just the images especially when the categories provided by the brands are inconsistent. This poses an interesting computer vision problem which has caught the eyes of several deep learning researchers. Fashion MNIST is a drop-in replacement for the very well known, machine learning hello world - MNIST dataset which can be checked out at ‘Identify the digits’ practice problem. Instead of digits, the images show a type of apparel e.g. T-shirt, trousers, bag, etc. The dataset used in this problem was created by Zalando Research.

Analysis test project - to build a web application