Mushfiqur Rahman's Projects
A collection of the most important Github repos for ML, AI & Data science practitioners
This project was a part of my Software Engineering course. We only had 3 weeks to develop, deploy, and report writing for our project. As a result, I tried to build a simple application. The dataset used for this task is also created by myself. The application works based on cosine similarity. The machine learning model is used on the backend of the application. The frontend is developed by using Streamlit: a well-known web framework of Python. The timeline of this project was pretty congested. So this application has some bugs which need to be fixed in the future.
This project was done while learning Data Analysis in Python , a course from Cognitive Class . Dataset used in these projects are from IBM cloud.
This application is based on a CatBoost machine learning model. This basically takes four queries from the user (Upazila/Thana name, Network availability (3G/4G), District, and Zip code) and outputs the best operator for that location. This model was trained on the data I collected from Opensingnal application. I collected 22,360 data for 559 locations of Bangladesh. Currently this model is based on a static dataset but in the future, I have a plan to upgrade it to a real-time data collection-based model.
It is a data analysis of COVID-19 in Bangladesh till April 19.
A simple chatbot using WHO given Covid-19 FAQ dataset and a .json file. I tried to implement this bot using Natural Language Processing.
This project is done using a small dataset of football players. As the dataset is small so train and validation accuracy is still not up to the mark.
This project was cloned from my instructors' repository while taking this course. The application he developed during this course is Snake BnB, where he kind of made a cage for keeping pet snakes while going for travelling for n number of days. This project was really interesting. He made me understand how NoSQL document databases like mongoDB works. This course was my first attempt to understand mongoDB and it was worth it.
The Chatbot is a responsive web application that allows users to chat with an AI-powered chatbot to generate answers. The application is built using React and Python and provides a user-friendly interface for seamless communication with the AI.
This repo contains some of the small projects during my learning process.
LLM Finetuning with peft
Repository that contains LLM fine-tuning and deployment scripts along with our research findings.
This projects were done while learning machine learning. Dataset used in these projects are from IBM cloud. This projects were done taking a course from Cognitive Class.
My Github site.
This repo is a part of my learning process of NLP. I am committed to gain a root-level understanding of NLP approaches. I will try to experiment with lots of datasets and try to learn as many ML algorithms as possible for NLP.
š Guides, papers, lecture, notebooks and resources for prompt engineering
This repo contains some of the basic operations in SQL done within Python. I took these teachings from my favorite instructor Corey Schafer. I also took the 4-hour SQL course from freecodecamp. These learnings helped to become confident with SQL. Shout-out to these amazing tutors on YouTube!
A list of advice on doing research that is useful for me :)
This repository contains my tasks while doing an internship on Data Science & Business Analytics in The Sparks Foundation.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent