Mayank Rastogi's Projects
Basic Sentimental Analysis using Tensorflow
Binary Classification ML Web App Containing Different Algorithm and Different Parameters you have to Apply on a single Data Set To Check the better results given by which algorithm it also plots different graphs Like (confusion Matrix, Line Graph) to visualize the accuracy of algorithm on a given data set , I am also Using Different Kernels such as rbf,linear,sigmoid .
Continuous Deployment Pipeline using Github and ElasticBeanStalk
Cat VS Dog Classsification using Deep Learning Model CNN
This repository contains my all data structures and algorithms and problems solving from different platforms.
A course From DeepLearning.ai
This project is serving an e-shopping application that can be used by customers. I have Taken a particular category of product that is present in the database. Customers can efficiently select with help of our recommendation system, securely purchase an item using an encryption algorithm, and can get the picked product using an optimized shortest path algorithm at his/her doorstep.
This repository aims towards Sports analytics by predicting the first inning Score Based on the previous data and by taking at least the first 5 overs data from the user to predict the final score that a particular team will make based on the prediction
This Repository Contains Different Machine Learning and Important Concepts
This project is representing an AI based video analytics application in which user can input a video footage, Can get to know the alarming critical events as data insights and can see the visualizations of those figured data insights.
Optimizing Real Road Network with the help of different shortest path algorithm using Dijkstra Algorithm and Traveling salesman problem
This Repository Contains My Personal Machine Learning Projects and Various Data Science & Machine Learning Competitions and Hackathons which I have actively Participated in
This Repositiory Contains Neural Network Applied On Mnist Data set(Hand Written Digits) and also implementation using ML Web App