pratham12s's Stars
ramanakshay/Hash-Tree-Data-Backup
Parallelised Data Backup Using Hash (Merkle) Trees
Anirudh-48/mocogan
MoCoGAN: Decomposing Motion and Content for Video Generation
Anirudh-48/Pharmacy-System
Anirudh-48/Parallelization-of-Image-Encryption
Anirudh-48/Calculator
Anirudh-48/basic-covid-program
The program is India specific
Anirudh-48/Snake-game-c
Ankit-Sidana/Arduino
Ankit-Sidana/DSA-LAB
Ankit-Sidana/Jupyter_Notebook
we-shall/Stock-Prediction
The git is about Indian Stock market prediction.
prabal4546/prabal4546
prabal4546/Twittermenti
Stock prediction using Twitter response by users
prabal4546/BetterRest
SwiftUI App to suggest sleep time using CoreML framework
prabal4546/Moonshot
SwiftUI App with details of all the missions and astronauts which lead to the Apollo 11 mission in 1969. All images used are the property of NASA.
milesb123/GigMe
a casual linked in where twitter users can advertise their skills and find gigs
prabal4546/GigMe-2
A find app for freelance gigs, internships and jobs
Anirudh-48/Library_manager
Anirudh-48/Portfolio-website
Anirudh-48/Space-shooter-unity
Anirudh-48/Quote-generator
Anirudh-48/ECommwebsite
Anirudh-48/QRCode-Gen-and-read
DSC Task
pratham12s/ADVERTISMENT-CLICK-PREDICTION
USING THE LOGISTIC REGRESSION ACHIEVED 100% ACCURACY WITH THE TEST DATA AND NORMALIZED OR STANDARDIZED DATA. I HAVE ALSO VISUALIZED DATA TO UNDERSTAND DEPENDENCIES PRECISELY AND CLEAN THE DATA APPROPRIATELY.
pratham12s/KNN_MODEL_PROJECT_1
Performed data analysis on classified data along with prediction using KNN and also applied Elbow Method in order to find the Accurate value for K and also applied standardization of Data to get much accurate result
pratham12s/KNN_MODEL_PROJECT_2
About Performed data analysis on classified data along with prediction using KNN and also applied Elbow Method in order to find the Accurate value for K and also applied standardization of Data to get much accurate result
pratham12s/Kyphosis_Dataset_Prediction-
Kyphosis dataset analyzed and predictions carried out using two Classifier Algorithm called Decision Tree and Random Forest and achieved accuracy of 76% for Decision Tree and an Accuracy of 96% for Random Forest. The Dataset was small hence the predictions can be much more better if the dataset was more
pratham12s/HAPPY-NUMBER
pratham12s/RECTANGLE-AREA
pratham12s/Power-Of-Two