MAhmadUzair
Hey! I'm Muhammad Ahmad Uzair Associate Data Science and Machine Learning Engr😎. I love Python, Machine Learning, GenAi, Time Forecasting, NLP, LLM, and DL.
StechAiPakistan
Pinned Repositories
AI-Agents-With-Memory-GPT
Autogen
Cat-Vs-Dog-Image-Classification---ML-Project
ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Credit-Card-Fraud-Detection---ML-Project
"Empower your credit security with our pioneering project. Utilizing advanced machine learning, we swiftly detect and prevent fraudulent activities, ensuring a protected financial experience."
dbcreationusingpython
Digit_Classfication_Using-NN
DjangoRestApi_Postman
DSA
Top-50-Data-Science-Resources
🌟 Year-End Special: Top 50 Data Science Resources of 2024! 🌟
MAhmadUzair's Repositories
MAhmadUzair/Top-50-Data-Science-Resources
🌟 Year-End Special: Top 50 Data Science Resources of 2024! 🌟
MAhmadUzair/AI-Agents-With-Memory-GPT
MAhmadUzair/Autogen
MAhmadUzair/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
MAhmadUzair/dbcreationusingpython
MAhmadUzair/Digit_Classfication_Using-NN
MAhmadUzair/DjangoRestApi_Postman
MAhmadUzair/DSA
MAhmadUzair/EDA-Testing---Training-of-NFL-Dataset
MAhmadUzair/Fine-Tuned-BERT-Model-for-Sentiment-Analysis
MAhmadUzair/Generative-adversarial-networks-Macine-Learning-Project
I'm thrilled to share the highlights of my latest project, where I harnessed the power of Generative Adversarial Networks (GANs) to create an AI-powered fashion generator
MAhmadUzair/Get-Hired
Welcome to the "Get Hired" app - a tool designed to enhance your job application success! This Streamlit application leverages the Google Generative AI model (specifically, the Gemini Pro Vision) to provide insights and feedback on your resume in relation to a given job description.
MAhmadUzair/Image-to-Sketch-using-python---Python-Project
MAhmadUzair/Iris-Flower-Classification---ML-Project
This project aims to build and train a machine learning model that can accurately classify iris flowers into their respective species, such as setosa, versicolor, and virginica.
MAhmadUzair/Langchain
MAhmadUzair/LLM-Applications
MAhmadUzair/london-housing-price-analysis
This dataset is primarily centered around the housing market of london. It contains a lot of additional relevant field. 1-Monthly average house prices 2-Yearly number of houses sold 3-Monthly number of crimes committed The data used here is from year 1995 to 2019 of each different area
MAhmadUzair/Machine-Learning-Projects
MAhmadUzair/MAhmadUzair
MAhmadUzair/Netflix-Dataset---DS-Project
This Netflix Dataset has information about the TV Shows and Movies available on netflix till 2021. This data is collected from flixable which is a third party Netflix search engine.
MAhmadUzair/NumberPlateRecoginition_EasyOCR
NumberPlateRecoginition_EasyOCR: Effortlessly extract license plate numbers from images and videos using EasyOCR, simplifying automation for traffic monitoring, parking management, and security systems.
MAhmadUzair/Object-Detection-using-YOLO
Unlock the potential of YOLOv8 for Object Detection and Segmentation using a Streamlit-based interface, designed by M. Ahmad Uzair.
MAhmadUzair/Python
MAhmadUzair/Qdrant-Vector-Databases
MAhmadUzair/Real-Time-AI-Face-Landmark-Detection-App-with-Tensorflow.JS
MAhmadUzair/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
MAhmadUzair/Spotify-Recommendation-Engine---ML-Project
In this project, you'll dive into the world of music and data to create a personalized Spotify recommendation engine. Using machine learning algorithms and Spotify's extensive music database, you'll develop a system that understands users' music preferences and suggests tracks, playlists, and artists tailored to their taste.
MAhmadUzair/Stock-Market-Prediction-and-forcasting-using-stacked-LSTM---ML-Project
In this project, you'll harness the power of Stacked Long Short-Term Memory (LSTM) neural networks to predict and forecast stock market trends. By analyzing historical stock price data, you'll build a robust machine learning model capable of capturing intricate patterns and trends in financial markets.
MAhmadUzair/Text-Classification_Comments-Toxicity_Deep-Learning
MAhmadUzair/Waste-Prediction-Hybrid-ML-Model