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Hey Data Dreamers!!

🚀 Data is God in the world of Machine Learning! Ready to dive into a world where data reigns supreme? Let's make magic together!

I'm not just a Machine Learning Specialist; I'm a wizard who transforms raw data into a symphony of predictive models. I've been immersed in Machine Learning and Computer Vision as a Researcher and Developer.

• 🐍 Programming Languages: Python
• 🎛️ Databases: SQL Server| MongoDB
• 🤖 Machine Learning: Supervised Learning| Unsupervised Learning| Gradient Boosting| Ensemble learning| Model Evaluation| Validation
• 🛠️ Feature Engineering: Feature Selection| Feature Extraction| Dimensionality Reduction| Imputation| Scaling| Encoding
• 📊 Data Manipulation & Analysis: Pandas| NumPy| Data Cleaning| Exploratory Data Analysis
• 📈 Data Visualization: Matplotlib| Seaborn
• 🧠 Deep Learning: TensorFlow| PyTorch| Convolutional Neural Networks (CNN)| Generative Adversarial Network (GAN)| You Only Look Once (YOLO)| Auto Encoder| Self-Organising Map (SOM)
• 📸 Computer Vision: Image Classification| Object Recognition| Image Processing| OpenCV| Object Detection| Object Segmentation| Object Tracking| Facial Recognition
• 🌀 Version Control: GitHub

The following are some of the notable data science projects I have worked on. Each project showcases my skills in data analysis, machine learning model development, and insights extraction.

💡Diagnosis Diabetic Retinopathy (PyTorch)

• Description: Using Convolutional Neural Network for Diabetic Retinopathy Detection
• Technologies: Convolutional Neural Network, Pytorch, OOP
• GitHub Repository: Diagnosis of Diabetic Retinopathy

💡Detection Brain Tumor (PyTorch)

• Description: Using Convolutional Neural Network for Brain Tumor Detection and Diagnosis (F1-score: 0.97)
• Technologies: Convolutional Neural Network, Pytorch, OOP
• GitHub Repository: Brain Tumor Detection

💡Pneumonia Diagnosis (Transfer Learning)

• Description: Chest X-ray Classification for Pneumonia Detection
• Technologies: Convolutional Neural Network, TensorFlow, Transfer Learning
• GitHub Repository: Diagnosis Of Pneumonia By CNN Classifier

💡Ticket Cancellation Prediction (XGBoost Classifier)

• Description: This project aims to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company
• Technologies: Sklearn, Xgboost, GridSearchCV, ...
• GitHub Repository: Prediction Of Ticket Cancellation by XGBoost Classifier

💡Category Prediction in an Advertisement Website

• Description: Category Prediction in an Advertisement Website
• Technologies: Sklearn, GridSearchCV, SVM, RandomForest, XGBoost, Sklearn.metrics, Textual Vectorization, TF-IDF vectorization
• GitHub Repository: Category-Prediction-in-an-Advertisement-Website

💡Detection of Type-2 Diabetes Mellitus Disease

• Description: XGBoost and CatBoost are powerful machine-learning models that can be used to predict diabetes
• Technologies: Sklearn, Xgboost, Catboost, GridSearchCV, ...
• GitHub Repository: Prediction Of Diabetes XGBoost CatBoost

💡Analyzing Previous Marketing Campaign Patterns

• Description: Analysis of Bank Marketing Strategies for Future Success
• Technologies: Sklearn, Numpy, Pandas, Matplotlib, Seaborn, GridSearchCV, Ensemble, Sklearn.metrics
• GitHub Repository: [Bank Marketing Strategies for Future Success

💡Predict the Price Of Diamond (Regression Models)

• Description: My primary objective in this problem is to accurately predict the price of diamonds by analyzing a comprehensive set of their defining characteristics
• Technologies: Sklearn, Numpy, Pandas, Matplotlib, Seaborn, GridSearchCV, Linear_model, Ensemble, Sklearn.metrics
• GitHub Repository: Predict Price Of Diamond By Regression Models

💡YOLOv8 Signs Detection

• Description: YOLOv8-Based Traffic Signs Detection Model|Training Using Customized Dataset Of Traffic Signs
• Technologies: YOLOv8, PyTorch
• GitHub Repository: Traffic Signs Detection YOLOv8

💡YOLOv8 Car Tracking

💡Generating Anime Faces

• Description: The project has successfully generated compelling anime faces that showcase the realism achieved with DCGAN
• Technologies: TensorFlow, DCGAN
• GitHub Repository: Generating Anime Faces (DCGAN)

💡Data Preprocessing For Machine Learning

• Description: Pre-processing Data: A Step-by-Step Guide and Professional Approach using Class Definition
• Technologies: OOP, Sklearnlearn, Feature Engineering, Feature selection
• In Kaggle: Data Preprocessing For Machine Learning)

💡Medical Image Segmentation (kidney Tumor)

If you have inquiries, or collaboration opportunities, or wish to delve into discussions regarding data science projects, please don't hesitate to get in touch. I welcome your outreach and can be reached via email or connect with me on LinkedIn.