arhammehta Goto Github PK

585-dbms

amazon_alexa-review-analysis

covid19_contact_tracing_system

Built a database management system for an office building to trace all the employees that have contracted the virus through multiple processes and tables.

customer-classfication-model

Analyzed a Retail data set with more than a million rows. Analyzed, pre-processed and wrangled the data to build the model. Did extensive feature engineering to discard non-significant features based on the p-values and information gain. Finally, trained the model on different classification models - Logistic Regression, KNN, Random FOrest, XGBoost and Decision Tree. Compared the different Precision, Recall and Roc-Auc scores to fine-tune the logistic regression and random forest model.

electronics-store-database-website

Developed an online Electronics store displaying products which are buyable & related to different categories. The online Electronics store consists of 34 main modules such as sign up/login for customers, ease of searching & selecting for required products, add to cart option for order summary and the payment portal. Payment module is implemented by using Cash On Delivery [COD] and Card. This store has its frontend developed using languages such as HTML5, and CSS3 . Backend development includes languages such as PHP, SQL & database used is MySQL. Xampp setup is used for server & database connectivity.

frauddetectionsystem

game

handwritten-math-equation-detection

Detecting handwritten mathematical equations using Convolutional Neural Networks

pizza-delivery

Built a model for a optimization problem of orders to determine the number of chefs required in a restaurant. Using optimal balancing of loads amongst the cooks allows to quantify the output in a better way than serial orders will impact the outcomes. Trained a XGBRegressor model to predict the the number of orders and then made a decision based on the output.

rasa-chatbot-templates

RASA chatbot use case boilerplate

salaryprediction