Swechha's repositories
system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Deep-Learning-Training
Materails for Deep learning from Kredo
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.
How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
karrot-backend
Django API server for the karrot frontend
karrot-docker
A docker-compose setup for karrot-frontend and karrot-backend
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)
summertraining
dgplug Summer Training
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
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.