Utkarsh Sharma's Projects
Applying computer vision techniques to augment video output with a detected road lane, road radius curvature and road centre offset.
Organic Compound classification using Artificial Neural Network
Implementing geodemographic segmentation to reduce churn rates at a bank using Artificial Neural Networks in Python and R
AQI Data for Sonipat for the calendar year of 2019
Supporting code, notes and exercise solutions from the Udacity course titled, 'Artificial Intelligence for Robotics'
American Sign Language Detection and Translation
Source code and supporting documents for the AvataaarsX NFT collection
Notes and the Social Network project from 'Blockchain Tutorial For Developers' by Dapp University
Code Snippets and Supporting Documentation for the BlockCred project by The Misfits for Code with GlobalShala 2.0
Code repository, UI elements and supporting documents for the BlockStore project by The Misfits at BhilaiHacks
Code repository and supporting documents for Bullz and Bearz
Training a Convolutional Neural Network to classify images from the CIFAR-10 database using PyTorch
Implementing an Image Classifier using Convolutional Neural Networks in Python
Starter files, final projects and FAQ for my Complete JavaScript course
Interactive web-based dashboard to monitor SARS-CoV-2 trends across the globe.
The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, Log Loss. This project counts towards the final grade of the course.
This capstone project has been submitted as part of the requirements for completion of the IBM Data Science Professional Certificate on Coursera. In general, this project would be encompassing a series of Data Science techniques, including, but not limited to, Web Scraping (using BeautifulSoup and Requests), Data Cleaning, Data Wrangling and Machine Learning (K-Means clustering algorithm)
Visualizing Neighborhoods in the city of Toronto. This project is a part of the Data Science Specialisation Capstone offered by IBM on Coursera.
Web-based COVID-19 Geographic Trends dashboard made using Bokeh and Flask.
Project for credit towards the course IT301 Software Engineering
Implementation of a basic blockchain network using JavaScript. Part of the Udemy course: 'Build a Blockchain & Cryptocurrency | Full-Stack Edition'
Implementing a Simple Decision Tree and Random Forest classifier in Python and R
Implementing a Decision Tree Regression in Python and R
Project for credit towards the course IT404 Advanced Java Programming
Exploring the 2017 Kaggle Data Science Survey results, and learning about the tools used by 10,000+ people in the professional data science community. This DataCamp project uses a subset of the 2017 Kaggle Machine Learning and Data Science Survey dataset.
Implementing a Face Detector with Happiness Detection using OpenCV in Python
Implementing a Gaussian Naive Bayes classifier in Python and R