-object-detection-yolo-flask

airline-online-reservation-database

airline-tickets-prediction

Real World use case of machine learning needed to predict the ticket prices of airlines worked on many cleaning techniques ,dealing with missing values and outliers also tried more than one algorithm as a try to see which one is the best and compare between each one

automatic-number-plate-recognition-speed-estimation

This GitHub repository features an efficient project for Automatic License Plate Detection (ALPR) and Speed Estimation. Utilizing YOLOv8, SORT, and EasyOCR, the project achieves accurate results in real-time.

automobile_data-analysis

This project aim to more practice on data cleaning and preprocessing so that we make it available for ML model or any analysis and how to retrieve the data you want based on conditions

biceps-curl-counting-with-pose-estimation-using-mediapipe

Created an AI-powered solution for automated biceps curl counting during gym workouts. Leveraged MediaPipe and machine learning techniques for accurate pose estimation, enabling real-time tracking and counting of biceps curls. Improved fitness tracking and engagement for gym-goers.

brain-mri

The App is used to detect the brain tumor using CNN with accuracy 90%. The model take a MRI image and classify if there is a tumor or no and in case there is a tumor it classify the type of it (eg. Pituitary , Meningioma , Glioma)

browser-based-models-with-tensorflow.js

My work in Browser-based Models with TensorFlow.js Coursera course

cardiovascular-risk

The "Cardiovascular-risk" project analyzes a dataset of 4,000+ patients to identify risk factors for Cardiovascular Heart Disease (CHD). Using TensorFlow and neural networks, it provides insights for preventive measures and treatment strategies.

chronic-kidney-disease-prediction-ckd-

That project works on real dataset of CKD we here explain and build our model that predicts if the person will have that disease or not and we discussed many filtering techniques and how to deal with missing values in your dataset that project describe sequential steps that any machine learning engineer has to follow.

conversational-chatbots-and-memory-integration

Engage in dynamic conversations with our chatbot powered by "lmsys/fastchat-t5-3b-v1.0" language model.

data-analyst-assistant

Streamline data analysis with Data Analyst Assistant, leveraging Hugging Face's LLM and Langchain Agents. Effortlessly upload CSVs, query in natural language, and get automated, human-friendly results. Simplify analysis, gain insights.

dataharmonize-ml-etl-pipeline

DataHarmonize: Simplify machine learning data prep with an end-to-end ETL pipeline. Integrate data, apply transformations, and load it into SQL Server or PostgreSQL effortlessly.

diabetes-prediction

In this project we used a dataset from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict based on diagnostic measurements whether a patient has diabetes.

dictionary

draw-robot-with-turtel-graphing

egg-catcher

fake-news-prediction-using-nlp

Here in this project worked on prediction of fake news using some NLP techniques

find-similar-words-app

The "Find Similar Words App" is a user-friendly web application that uses advanced natural language processing techniques to identify and show words or phrases similar to the user's input. The project employs a pre-trained model called 'BAAI/bge-large-zh-v1.5' from the Sentence Transformer library, which can encode and embed text data.

flutter-project

global-superstore

Project about data analysis and science of real dataset of Superstore includes techniques of data filtering and cleaning and preprocessing.

graphing_data

Simple Jupyter Notebook for quick analysis for any data file with more than one option of graphs

hangmen-game

heart-disease-predictor

hespress-classifier

hespress-eda

hospital-website

hotel-booking-prediction

Trying to predict the status of booking if it gonna be canceled or not using machine learning techniques (logistic regression , Decision Tree , Random Forest , etc....) . The code including cleaning and filtering techniques as well.

idbm_movie-analysis

In this project practiced more on data analysis and finding correlations between columns so that know which features are important if we wanna get a specific use case also worked on visualizing that correlations in a user friendly way to make it easier for the user

imdb_rnn

In this project i've worked on IMDB which i already uploaded a ipynb file about just analysis and now i've worked on it again but to create RNN to let the model predict the reviews from itself it also contains everything in that project from data preprocessing and cleaning to creating our RNN model and Visualizing the results