amazon-like-e-commerce-page

auto-ml-with-pycaret

av-carla-simulation

A CARLA simulation of autonomous vehicular function

backend-interview

bellabeat-case-study

BellaBeat Case Study: An analysis of BellaBeat's innovative wearable technology and its impact on user health and wellness.

c_miniprojects

A repository of all my C language mini projects.

categorical-classification-and-document-digitization

Python code for performing categorical classification of medical data and converting pdf to structured json documents

chat-app

cnn-digit-recognizer

This GitHub repository contains an implementation of a Convolutional Neural Network (CNN) digit recognizer. The digit recognizer is trained to accurately classify and recognize handwritten digits from the MNIST dataset.

cpu-scheduler

A simple CPU-Scheduling application created using C++ and Qt creator.

credit-card-form

credit-card-fraud-detection-using-som

This GitHub repository presents an innovative approach to detecting credit card fraud using Self-Organizing Maps (SOM).

daily-coding-practice

I have created this repository to practice and upload code into it daily.

data-analytics-ui-education

e-commerce-django

e-commerce-web-elements

faang-ui-clones

figma-ui-designs

These are UI/UX design resources I have used or made while learning about product management, roadmap and planning

google-colaboratory-notebooks

A repository of all the google colab notebooks I have worked on

google-maps-unet

This repository contains code and resources for training and using a UNet-based deep learning model for semantic segmentation on Google Maps images. The model can be used to classify different objects and regions in satellite imagery obtained from Google Maps.

healthcare-dashboard

heartbeat-catboost-classifier

Heartbeat Catboost Classifier is a Python library that utilizes Catboost to predict heartbeat anomalies, aiding in early detection of cardiovascular issues.

javascript-binary-calculator

A binary calculator created using JavaScript

k-nearest-neighbors

K-Nearest Neighbors is an algorithm for supervised learning. Where the data is 'trained' with data points corresponding to their classification. Once a point is to be predicted, it takes into account the 'K' nearest points to it to determine it's classification.

kbvkarthik

Config files for my GitHub profile.

keras-computer-vision-models

A repository for all my computer vision models developed using keras.

keras-natural-language-processing

A repository for all my NLP models using keras

keras-structured-data-models

A repository for all my keras models for structured data

keras-time-series

A repository of all my keras time series models

language-learning-dashboard