ad-click-prediction-on-internet-accessing-users

Predicting whether or not a internet accessing user will click on an ad, based on his/her features.

amazon-fine-food-review-analysis-using-nlp-techniques

This repository consists of analysis over Amazon fine food purchase reviews by customers. The data has been collected by Stanford Network Analysis Project(SNAP). This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories.

ann-based-banking-churn-prediction

This repository will have all the necessary files for machine learning and deep learning based Banking Churn Prediction ANN model which will analyze tha probablity for a customer to leave the bank services in near future. Deployed on Heroku.

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Assignment-17.1 (Acadgild)

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Assignment 1.1

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Assignment 1

base_project_template

A Python project template that you can use for packaging and distributing your project on PyPI

blurred-machine

My personal GitHub Overview page. This page consists of most of the information about me with all the required links to reach out to my public portfolios.

blurred-machine.github.io

This is a personal portfolio website that serves as a platform to showcase my skills, experiences and achievements. The website is still under development and I welcome contributions from the community. The website features an about section that provides an overview of who I am and what I do, a portfolio section that displays my work.

c-assignment

cardiovascular-disease-detection-end-to-end-ml-project

Building an application to classify the patients to be healthy or suffering from cardiovascular disease based on the given diagnosis attributes.

cats-and-dogs

This repository consists of a CNN based Deep Learning project. The web interface will ask user to upload an image and will predict the class of image as "Cat" or "Dog".