Suryansh Grover's repositories
APS-fault-detection
based on the befitting sensors fetched data, prediction is to be made whether the failure in a vehicle is due to APS or some other component. Emphasis is on reducing the consequential cost by reducing the false positives and false negatives and more importantly false negatives as it appears cost incurred due to them is 50 times higher.
faulty-wafer-component-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
JobPortal-springboot
A lightweight Spring Boot project that provides RESTful APIs for managing job posts. Offers functionalities to display and retrieve job posts, along with a search feature that allows users to find job posts based on keywords. This project utilizes MongoDB as the database to store and retrieve job post data.
machine-learning
hands-on machine learning with Scikit-Learn.
automate-linear-regression
automated the Linear Regression model building protocol and uploaded the built package on PyPi.
bash-scripting
A repository for learning and practicing Bash scripting, including basic and advanced concepts, examples, and exercises.
california-housing-price-prediction
used California census data to build a best possible model that has to predict the median housing price in any given district of California. The data includes metrics such as population, median income and median housing price for each block group in California.
deep-learning
getting started with Deep Learning.
getting-started-with-java
getting accustomed to the Java programming language.
predictive-maintenance-regression-2.0
Although PdM revolves around detecting anomalies and possible defects before they happen, here, however, based on befitting predictors and machine failures, this project attempts to predict Air Temperature that in actuality is generated using random walk process, via a regression algorithm.
docker-cheatsheet
docker's frequently used CLI cmds.
dvc-get-started
Data versioning with DVC.
getting-started-with-firebase
This repo contains a Java-based Spring Boot application that demonstrates the integration of Firebase Firestore with a Spring Boot backend. Firebase Firestore is a NoSQL cloud database offered by Google Firebase that allows developers to store and synchronize data in real-time across multiple devices and platforms.
hey-SpringBoot
tryna make the sense outta backend via Spring Boot.
image-viewer-spring-mongo
Showcases an image viewer application built with Spring Boot and MongoDB. This project allows users to upload and store images in MongoDB as byte arrays, along with their URLs for easy retrieval at the MongoDB UI itself.
predictive-maintenance-regression
based on the befitting predictors, Air Temperature, which in reality is generated using random walk process, is to be predicted via a regression algorithm.
QuizWiz-SpringBoot
A pathetic demo project for Spring Boot and MongoDB.
spring-demo-repo
featuring a project that serves as a starting point to get acquainted with the Spring framework. The project includes a basic setup and configuration for a Spring application, implementing core Spring features such as IoC and dependency injection.
ToDoPro-angular
Not only a powerful task management application but also serves as a perfect hands-on experience for getting started with Angular, providing a practical example of building a real-world application using Angular's features and best practices.
wafer-fault-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
zomato-business-case-study-analysis
This analysis aims to provide insights into the Zomato business problem and offer potential solutions to increase user engagement and adoption of the wallet feature. The analysis is based on assumptions and statistical hypotheses that were formulated pivoting the problem statement.