Muhammed Thahseer's repositories
Cancer_Prediction
This is a web application built with FastApi that allows users to predict the likelihood of lung cancer based on various input features. The application utilizes a machine learning model trained on a dataset of survey responses related to lung cancer.
classfication_part2
Welcome to the Machine Learning Repository! This repository is a collection of notebooks showcasing various machine learning projects and implementations. It incluedes Decision tree algorithm, Random forest , Support vector machine etc.
Classfication_Part1
Welcome to the Machine Learning Repository! This repository houses a collection of notebooks focused on machine learning projects, feature engineering, and feature selection techniques. Whether you are a beginner or an experienced data scientist, this repository offers valuable insights and implementations to enhance your machine learning skills.
data_structures
Welcome to the Data Structures and Algorithms repository! This repository contains implementations of various data structures and algorithms in Python. It covers essential data structures like linked lists, queues, stacks, and trees, along with fundamental algorithms like sorting, searching, and more ⚡️⚡️⚡️.
itsmethahseer
Config files for my GitHub profile.
Powerbi_Reports
This repository contains Power BI ⚡️⚡️⚡️ reports generated for Amazon, a supermarket dataset, and Coca-Cola sales data. Each report is stored in a separate file format (.pbix and .xlsx)⚡️⚡️⚡️.
user_admin_crud
Welcome to the User Admin CRUD project! This project focuses on creating a user sign-up and login system using Django ⚡️⚡️⚡️ and MySQL database ⚡️⚡️⚡️.
Spam-Message-Detection
This project aims to classify SMS messages as either spam or not spam using machine learning techniques. The project utilizes various classification algorithms such as Logistic Regression, Random Forest, Decision Tree, Multinomial Naive Bayes, and a Voting Classifier ensemble method.
Image-Captioning
This project focuses on creating an image captioning system that generates descriptive captions for images, with a special emphasis on images featuring dogs. The system utilizes the Flickr8k dataset, comprising 8,000 images each paired with five human-annotated captions.
Pneumonia-Detection
This repository contains the code for a Pneumonia Detection model using a pre-trained ResNet152V2 deep learning model. The project is implemented using FastAPI to expose an API for real-time predictions.
SQL_Data_Retrieval
Project to extract sql data in a tabular format when user query his required data in natural language.
VoterID-Document-Extractor
I have developed this api to extract text from blocks in the document. This Api can extract text as it is by maintaining the Document blocks structure. This will return the output in the form of Excel , Text File and Docx. This solution is supporting multiple languages, now this is specialized for Hindi language, we can fintune it for Other.