Pinned Repositories
shukra
Akka cluster visualization UI and management dashboard
BabyOnBoard
Web Project titled, "Baby on board", is a subscription based application that mainly aims at lightening new parent’s burden of selecting the right products for their baby. This application is built using HTML5, CSS3, JavaScript and Java Web Servlets, and uses MySQL for data storage.
CLRS
📚 Solutions to Introduction to Algorithms Third Edition
Flickmart
Flickmart is an Online Movie Store website that enables registered customers to buy movies. The frontend is built with HTML, CSS and Bootstrap, uses JavaScript and JQuery for client-side scripting, uses NodeJS and Express for server-side scripting and MongoDB for data storage.
MLMiniProjects
Machine Learning mini projects to implement Perceptron Learning, SVM - Primal and Dual, KNN, Decision Trees, Boosting with AdaBoost, AdaBoost with Co-ordinate descent, Bagging, PCA, Gaussian Naive Bayes classifier, Spectral Clustering, L1 and L2 Logistic Regression, and Gaussian Mixture Models using Expectation - Maximization (EM) algorithm from scratch in Python on UCI data sets such as Leaf Data Set, Sonar Data Set, SPECT Heart Data Set, Parkinsons Data Set and Mushroom Data Set.
react-graph-vis
A react component to render nice graphs using vis.js
SelfDrivingAnalysis
Tweet Sentiment Analysis Of Self-Driving Cars
SequenceOfEventsAnalysis
“Sequence of historical events” analysis
shukra
Akka cluster visualization UI and management dashboard
Flickmart
Flickmart is an Online Movie Store website that enables registered customers to buy movies. The frontend is built with HTML, CSS and Bootstrap, uses JavaScript and JQuery for client-side scripting, uses NodeJS and Express for server-side scripting and MongoDB for data storage.
kpasagada's Repositories
kpasagada/MLMiniProjects
Machine Learning mini projects to implement Perceptron Learning, SVM - Primal and Dual, KNN, Decision Trees, Boosting with AdaBoost, AdaBoost with Co-ordinate descent, Bagging, PCA, Gaussian Naive Bayes classifier, Spectral Clustering, L1 and L2 Logistic Regression, and Gaussian Mixture Models using Expectation - Maximization (EM) algorithm from scratch in Python on UCI data sets such as Leaf Data Set, Sonar Data Set, SPECT Heart Data Set, Parkinsons Data Set and Mushroom Data Set.
kpasagada/BabyOnBoard
Web Project titled, "Baby on board", is a subscription based application that mainly aims at lightening new parent’s burden of selecting the right products for their baby. This application is built using HTML5, CSS3, JavaScript and Java Web Servlets, and uses MySQL for data storage.
kpasagada/CLRS
📚 Solutions to Introduction to Algorithms Third Edition
kpasagada/Flickmart
Flickmart is an Online Movie Store website that enables registered customers to buy movies. The frontend is built with HTML, CSS and Bootstrap, uses JavaScript and JQuery for client-side scripting, uses NodeJS and Express for server-side scripting and MongoDB for data storage.
kpasagada/react-graph-vis
A react component to render nice graphs using vis.js
kpasagada/SelfDrivingAnalysis
Tweet Sentiment Analysis Of Self-Driving Cars
kpasagada/SequenceOfEventsAnalysis
“Sequence of historical events” analysis
kpasagada/shukra
Akka cluster visualization UI and management dashboard