Name: Shobhit Kulshreshtha
Type: User
Company: Gelato
Bio: Hi there, I am Shobhit Kulshreshtha. Working as a Data Scientist at Gelato. Helping people use AI/ML to build data-driven applications.
Location: Stockholm, Sweden
Blog: https://www.linkedin.com/in/shobhit-kulshreshtha/
Shobhit Kulshreshtha's Projects
Solutions to algorithm problems I have coded
Pre-release of v4 of course.fast.ai
Exercises and solutions to the coursera courses I have taken
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
A data science challenge hosted by hackathon requiring multi-class text classification to identify the source of happiness
My solutions to Udacity's Hadoop & MapReduce course
This repository contains my exercises and solutions for the edX course
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Nordea Open Banking code samples
Nordea Open Banking API Swagger and Postman files
Using PyCaret Regression Module to predict tip as a % of total fare for NYC taxi trips
Regression models to predict house prices based on Kaggle dataset
Analysis of high-school SAT scores and demographics
Config files for my GitHub profile.
:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
A basic flask app classifying messages as spam or ham
Predicting Post-test scores of students based on the school and student data.
SAM with Visual Grounding