Hey There Folks In this project, I l learned how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, I worked with the COVID-19 dataset, published by,JOHN HOPKINS UNIVERSITY which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, …

Lead generation for credit card

This is a food application , which consists of favourite restaurants, dishes & previous order bookmarks also.

credit card lead prediction

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…

This is a portfolio of a faculty of Indian Institute of Information Technology, Lucknow.

A consortium of popular ML algorithms/concepts implemented in Python.

This repository consists all the data which I extract or find in the covid-19 and titanic datasets.

This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied …

This Repo consists of all the basic algorithms implemented in C/Python with its complexity analysis and a brief explanation.

🎈 My implementation of the classic fifteen-puzzle-game which consists of 4x4 grid with 15 tiles numbered from 1 to 15. Tiles are moved to order the numbers...