srl123

Analysis-of-Machine-Learning-Algorithms-for-DDos-Detection

Used different types of machine learning classifiers such as Passive Aggressive, Extra Trees, Dummy Classifier to detect the DDos attack and compared the accuracies of the classifiers to determine the best out of the three.

Covid19-Fake-News-Detection

Fake news related to the coronavirus pandemic has now become a huge problem since false information can lead to worry and concerns regarding the disease. It is not possible to perfectly detect fake news unless the news has been labelled fake or real. Therefore, I have taken this issue as my problem and have developed a project that can detect fake news regarding Covid19 pandemic with the help of the dataset from Kaggle containing Covid19 public media information. I have also used different machine learning classifiers to check which classifier is best suited for the detection

Coursera_HTML-CSS-Javascript-for-Web-Developers

Solutions to the assignments of the Coursera course "HTML, CSS, and Javascript for Web Developers" by Johns Hopkins University.

Leaf-Disease-Detection-using-ML-Classifiers-and-MPI-Cluster

I developed a Leaf Disease Detection system using image processing techniques and tried to improve its performance using a MPI Cluster by using 2 Virtual Machines. In this project a performance analysis is also done to know about how much the speedup takes place when the system is run on a single node (1 VM) and on a 2-node cluster (2 VMs). I have also analyzed the accuracies using different Machine Learning Classifiers

mydevops1

ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

Tensorflow-in-Practice-Specialization

This repository contains my full documentation of Coursera's Tensorflow in Practice Specialization taught by the instructor Laurence Moroney offered by deeplearning.ai.