Pinned Repositories
Accident-detector
algorithms
bank_api_assignment
college-clubs
coursera_pythoncode
Depression_app
Dodge_Hills
gensim
Topic Modelling for Humans
system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Voice_classification
swekshajha12's Repositories
swekshajha12/Depression_app
swekshajha12/Dodge_Hills
swekshajha12/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
swekshajha12/bank_api_assignment
swekshajha12/coursera_pythoncode
swekshajha12/Voice_classification
swekshajha12/atlanlily
swekshajha12/cosmos
[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter
swekshajha12/Deep-Learning-Training
Materails for Deep learning from Kredo
swekshajha12/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
swekshajha12/DissIt
swekshajha12/DL
swekshajha12/Emotion-Recognition
swekshajha12/EventRecommendationSystem
swekshajha12/fastai
The fast.ai deep learning library, lessons, and tutorials
swekshajha12/Golang
swekshajha12/How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
swekshajha12/IIOT
swekshajha12/interview
Interview questions
swekshajha12/karrot-backend
Django API server for the karrot frontend
swekshajha12/karrot-docker
A docker-compose setup for karrot-frontend and karrot-backend
swekshajha12/karrot-frontend
Modern website for organization of foodsaving groups worldwide (frontend code) - also: central location for feature planning. (go to https://github.com/yunity/karrot-backend for server-side code)
swekshajha12/keras
Deep Learning for humans
swekshajha12/mllab
Machine Learning Lab VTU
swekshajha12/SIH
Comparision of human voice samples
swekshajha12/smart-tractors1
swekshajha12/summertraining
dgplug Summer Training
swekshajha12/Swechha.github.io
swekshajha12/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
swekshajha12/VTU-STUDENTS-MARKS-PREDICTOR
This project is aimed at predicting a student's Semester Grade Point Average in the consequent semester based on the LINEAR REGRESSION . The two algorithms that are used are Gradient descent which is a first-order iterative optimization algorithm. Feature Normalization or Feature Scaling which is used to standardize the range of of independent variables. On running these algorithms against the dataset it was observed that there is a correlation between students abilities in individual semester with the final overall academic performance. It can be ascertained that the abilities and strong engineering fundamentals are strong factors in influencing the overall academic performance. This prediction model could be used by the student as an extensive guide to carefully pan out the effort that he/she must incorporate in order to score superlative grades in the next semester.