ML-OPS Project with Clustering and Classification

Different ML Algorithms both in scripts & Jupyter Notebooks

Jupyter notebook and Streamlit application for Whisper model from OpenAI

Jupyter Notebooks for "Build your own Chatbot" course on KI-Campus

Problem Statement: Financial institutions face significant challenges in detecting fraudulent activities due to the large volume of transactions and the sophistication of modern fraud techniques. The problem is to design AI models that can accurately detect fraudulent transactions in real-time while minimizing false positives.

This repository contains a notebook that helps you create and run a streamlit app on Google Colab

A bike-sharing analysis project, using jupyter notebook for data wrangling and analysis, and streamlit for dashboard

A Notebook that demonstrates how to use the BART Transformer model to perform title generation from abstracts.

A collection of notebooks, datasets, and code snippets documenting my journey in data analysis on various topics. 📊

A demo Jupyter Notebook showcasing a simple local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.

This notebook presents a concise analysis for predicting obesity risk using machine learning models like Random Forest and XGBoost. Focused on identifying key factors influencing obesity through exploratory data analysis (EDA) and predictive modeling, the notebook offers insights into effective prevention strategies.

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

Data analysis on bikeshare system using Python code under Jupyter Notebook to carry out EDA & visualization and Streamlit to develop interactive dashboard.

This collection contains various projects and notebooks developed to tackle a range of Kaggle competitions, showcasing different machine learning techniques, data preprocessing methods, and model optimizations.

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

This repository contains a collection of script files and notebooks documenting my daily learning progress. I regularly update and push new content as I explore various concepts and deepen my understanding.

The "Customer Prediction Analysis Streamlit" GitHub repository contains all the files related to a project that analyzes customer data using a dummy dataset. The repository includes Jupyter notebooks for data preprocessing, exploratory data analysis, and model training.

This is a simple use of streamlit to share analysis of a bike share dataset. On this repository includes analysis notebook file, requirements dependencies, dirty and cleaned dataset,and python file that use to create streamlit app.

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

This is Machine learning project which based on various factors like age,gender,bmi etc.. ,predicts the Medical Insurance Cost. The Dataset is taken from Kaggle and then visualized,trained and tested in Jupyter Notebook. Streamlit is used to provide user-interface.