Name: Abhishek Shah
Type: User
Company: Inflancer Technology
Bio: š AI Engineer | MLOps | ML & Data Science | Django | FastAPI | Tableau | LLMs
Location: Gwarko, Kathmandu, Nepal
Blog: https://abhishekshah.vercel.app/#
Abhishek Shah's Projects
abhishek-shah-portfolio-static-website
Config files for my GitHub profile.
Compiles all the colab notebook content and resources for my journey in learning AI
Contains code for an analog clock which uses styling methods from ttkbootstrap
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Contains my project code for two CNN models, one trained for binary classification while the other made for multi-class classification. It utillises the CIFAR-10 dataset.
This repository contains the projects I worked on during my Codsoft internship. Each project focuses on a different machine learning problem, including credit card fraud detection, customer churn prediction, movie genre classification, and SMS spam detection.
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
An e-commerce website built with Django
codes related to my dsa course on python
Engineering-on-Data
Flappybird game coded using javascript
Contains my project code for ongoing web-scraper and automatic news post generator bot using Python, BeautifulSoup4, Pillow (PIL).
contains the experiments i did to understand and learn git-demo and stuff.
Grok open release
Hand Gesture Recognition for Sign language Detection deployed along a web application that recognizes through which one can translate hand gestures into commands or text using a webcam.
This repo contains all the info, notes, codes and references to projects that I learned to get started my ML Journey.
The Iris flower classification project uses the Iris dataset to demonstrate a simple machine-learning workflow. It covers data loading, exploration, preprocessing, model building, evaluation, and data visualization.
# This repository is a compilation of all the leetcode questions that I solved along with the examples copied. I've also tried to explain it through possible comments. I am constantly updating solutions for various common interview questions, so keep tuned for more. š
This notebook contains the code script I used to fine tune a Llama-2 LLM to create a python codeium generator using a custom build dataset