Mohamed Shaad's starred repositories
Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
LLM-powered-PDF-Chatbot
This is a Streamlit-based PDF Chatbot powered by OpenAI's Language Models. The chatbot allows users to upload PDF files, extract text content, and ask natural language questions about the PDF content
Personal-Website
This repository contains the source code and assets for Mohamed Shaad's personal website. The website showcases Mohamed Shaad's background, skills, and projects as a self-taught data scientist from India.
Vehicle-Tracking-Counting-YOLOv8
This Jupyter notebook project uses YOLOv8 for vehicle tracking and implements a line crossing detection algorithm. The system counts vehicles that cross a specified line in a video, annotates the frames, and generates an output video with visualizations.
Chatbot-With-Summarization
S-Chatbot is a Streamlit-based chatbot powered by GooglePalm language model. It allows users to interact with the chatbot and receive responses from the model.
LlamaIndex-Linear-LogisticRegression-Helper
This Streamlit application utilizes the LlamaIndex framework for document indexing and querying linear and logistic regression-related information. It uses the OpenAI GPT-3.5 Turbo model for generating embeddings and incorporates various components for efficient document retrieval. Users can input their queries and receive responses.
LLM-Driven-Marketing-Assistant
This project is a Streamlit-based application that utilizes GooglePalm language model to assist in generating marketing content for different age groups. The application allows users to input a product, select a marketing task (e.g., writing sales copy, creating a tweet, or writing a product description), and choose a target audience age group.
Retail-Store-Database-Assistant
This project is a Retail Store Database Assistant that uses LangChain and Google Palm Language Model to interact with a MySQL database. Users can ask questions about the database, and the assistant will generate MySQL queries to retrieve relevant information.
Turbofan-Predictive-Maintenance
This repository contains code for a predictive maintenance project using machine learning. The goal of this project is to predict the Remaining Useful Life (RUL) of aircraft engines based on sensor data and other operational parameters.
3D-Surface-Prediction-Tensorflow
This project demonstrates the creation of a 3D surface prediction model using TensorFlow. The model is trained on a randomly generated dataset and visualizes the predicted surface in a 3D space.
AI-powered-Cover-Letter-Generator
The AI-powered Cover Letter Generator is a Streamlit web application that leverages the GooglePalm language model to generate cover letters based on user input. Users can input details such as job description, company name, job position, experience, and the maximum number of characters for the cover letter.
Aspect-Based-Sentiment-Analysis
This project demonstrates Aspect-Based Sentiment Analysis (ABSA) using PyABSA, a library for aspect-based sentiment analysis. The application allows users to input a sentence, and it extracts aspects, predicts sentiment, and displays the results in a tabular form.
Chatbot-Javascript-HTML-CSS
A simple chatbot implementation using JavaScript and integration with the OpenAI GPT-3.5 Turbo model.
Data-Preprocessing-Pipeline
This project contains a data preprocessing pipeline implemented in Python using the pandas and numpy libraries. The pipeline handles missing values, outliers, and normalizes numeric features in a dataset.
Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
Data-Structures-Algorithms
This repository contains a collection of classic and essential data structures and algorithms implemented in Python.
ElasticNet-MLflow-Regression
This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.
Handwritten-Digit-Recognition-Tensorflow
This project focuses on building a neural network using TensorFlow to recognize handwritten digits from the MNIST dataset. The model is a simple feedforward neural network with one hidden layer.
Image-based-Recipe-Retrieval-System
PalatePixels is a web application for recognizing Indian recipes from images and providing recipe details.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Currency-Exchange-Rate-Forecasting
This repository contains code and data for analyzing the USD - INR conversion rate over the years. The analysis includes data visualization, growth analysis, seasonal decomposition, and time series forecasting using SARIMA.
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Intelligent-New-Analysis-Chatbot
This is an Intelligent News Analysis Chatbot built with Streamlit. It leverages the LangChain library and OpenAI's GPT-3 for intelligent question-answering and analysis of news articles.
llm_chatbot
Web application that allows you to interact with biomedical knowledge graphs and query biomedical questions.
Next-Word-Prediction-LSTM
A Jupyter Notebook-based project for Natural Language Processing (NLP) that generates new text based on the input seed text using an LSTM-based neural network.
Spam-Detection
This project is a simple spam classifier that uses the Multinomial Naive Bayes algorithm to classify messages as either spam or not spam (ham). It also provides some data visualizations and metrics to evaluate the classifier's performance.
superduperdb
đź”® SuperDuperDB: Bring AI to your favourite database! Integrate, train and manage any AI models and APIs directly with your database and your data.
Text-Analysis-NLP
This Jupyter Notebook-based project demonstrates various Natural Language Processing (NLP) and data analysis techniques using Python. The project includes text analysis, sentiment analysis, named entity recognition (NER), word cloud generation, and topic modeling.