manjindersingh3 Goto Github PK

all-assignments

cab-booking-application

This application is built using JAVA language and MySQL Database. It aims to provide maximum flexibility to users while booking a cab. Some of the prominent features of this application are the selection of cabs based on the gender of the driver, several parameters to calculate the price of ride, and many more.

course-selling-application

Tech Stack : Typescript, React, MongoDB

course-selling-monorepo

A Course Selling application made using NextJS, Typescript, TailwindCSS, PRISMA, PostgreSQL, Turborepo,

courseapp-monorepo-next-tailwind

courseselling-nextjs

Tech Stack : NextJS, Typescript

driver-drowsiness-detection-using-knn-and-cnn

A comparative analysis of Classification models (K-Nearest Neighbors and Convolutional Neural Network) is performed to classify the drowsiness of a driver. Features like Eye Aspect Ratio, Mouth Aspect Ratio, Pupil Circularity and Mouth Aspect Ratio over Eye Aspect Ratio were taken into consideration.

dsa-codes

etl-operations-using-aws-glue-and-redshift

Used AWS Glue to perform ETL operations and load resultant data to AWS Redshift. In the second phase used AWS CloudWatch rules and LAMBDA to automatically run GLUE Jobs

hands-on-projects-of-machine-learning

handwritten-digits-recognition-using-cnn

A Convolutional Neural Network is built using the Tensorflow-Keras framework. The MNIST dataset is used to build this model. This dataset has 70,000 handwritten samples of numbers from 0-9. Each image in the dataset is of 28x28 grayscale pixels size.

loan-repayment-prediction-using-aws-sagemaker

AWS Sagemaker service was used to build, train and deploy Artificial Neural Network on AWS cloud. Created S3 bucket to store dataset and trained model.

manjindersingh3

A brief overview about Myself.

relational-database-management-system

It supports features like user registration and login, password encryption using AES encryption algorithm, Database operations (Create, Insert, Select, Update, Delete and Drop), Transactions, Query and Transaction Logs, Locking to avoid deadlocks, Data Dictionary, Data dump and Entity Relationship Diagram.

typescript-concepts

used-cars-price-evaluation-model

Developed a price prediction model using Random Forest Regression algorithm. Different graphs were created as a part of Exploratory Data Analysis. Feature Engineering was performed to make the data ready for building the model.Built an interactive dashboard using dash and plotly libraries

visualizing-and-analysing-uk-traffic-accidents

An Interactive dashboard is built using Dash and Plotly to visualize accidents that occurred in UK. Further, DBSCAN is used as a clustering algorithm to make clusters of accident locations.

week-9