Welcome to my curated portfolio of end-to-end Data Science, Machine Learning, and Deep Learning projects. Each project includes structured code, clear documentation, and insights drawn from real-world datasets. This repository reflects my journey across diverse domains, tools, and techniques in data science.
| Project | Description |
|---|---|
| 🧠 MNIST Digit Classification | Classification of handwritten digits using CNN and deployment with Gradio. |
| 🎨 MNIST Digit Generation with DCGAN | Generating handwritten digits using Deep Convolutional GANs (DCGAN). |
| 🌿 Plant Disease Detection | A CNN model to detect plant diseases from leaf images. |
| 😷 Face Mask Detection | Detects whether people are wearing masks in real-time images. |
| 🐱🐶 Cat vs Dog Classification | Binary classification using transfer learning (VGG16). |
| 🔬 Breast Cancer Detection | Classification of breast cancer tumors using neural networks. |
| 🔬 Breast Cancer Classification (PyTorch) | Breast cancer prediction using a neural network built with PyTorch. |
| 🚀 CIFAR-10 Object Recognition | Multiclass image classification using ResNet50 on CIFAR-10. |
| 🌐 Machine Learning Language Translation | Translates text between languages using seq2seq deep learning models. |
| 🧠 Concrete(Compressive_&_Tensile) Strength Prediction | Evaluate compressive and tensile strength of concrete using ANN. |
| 📖 Sentiment Analysis with LSTM | Predicts text sentiment using LSTM-based recurrent neural networks. |
| 👗 Fashion MNIST Classification | Classifies clothing items using a CNN on the Fashion-MNIST dataset. |
| Project | Description |
|---|---|
| 🏠 House Price Prediction | Regression model to predict house prices. |
| 🏥 Diabetes Prediction | Predicts diabetes using SVM based on patient metrics. |
| 💳 Credit Card Fraud Detection | Classification of fraudulent transactions using logistic regression. |
| 🧾 Loan Status Prediction | Predicts loan approval status using logistic regression. |
| ❤️ Heart Disease Prediction | Predicts the likelihood of heart disease from health indicators. |
| 📰 Fake News Detection | NLP project to classify fake vs real news. |
| 📊 Big Mart Sales Prediction | XGBoost regression model for forecasting product sales. |
| 📈 Gold Price Forecasting | Predicts future gold prices using Random Forest Regression. |
| 💬 Spam Mail Classification | Detects spam vs non-spam using logistic regression. |
| 🍷 Wine Quality Prediction | Predicts wine quality using Random Forests. |
| 🎭 Movie Recommendation System | Recommends similar movies using cosine similarity. |
| 🧪 Medical Insurance Cost Estimator | Predicts insurance charges using linear regression. |
| 🔥 Calories Burnt Estimation | Predicts calories burnt using XGBRegressor. |
| 🧬 Parkinson’s Disease Detection | SVM classifier to detect Parkinson’s disease from biomedical voice measurements. |
| 📡 SONAR Rock vs Mine | Binary classification of sonar signals using logistic regression. |
| 🚢 Titanic Survival Prediction | Classic classification problem predicting survival on Titanic. |
| 👥 Customer Segmentation | Unsupervised clustering of customers using K-Means. |
| 🎯 Breast Cancer Detection | Predicts breast cancer from diagnostic features using logistic regression. |
| 🚗 Car Price Prediction | Predicts used car prices based on vehicle attributes. |
- Languages: Python, Jupyter Notebooks
- ML Libraries: scikit-learn, XGBoost, LightGBM, Ensemble tools, KMeans
- DL Frameworks: TensorFlow, Keras
- Visualization: Matplotlib, Seaborn
- Deployment: Gradio, Hugging Face Spaces
- Cloud & Git: AWS, GitHub
I’m a dual-degree student studying Civil Engineering at the University of Ibadan and Computer Science at the University of the People, with strong interests in AI, ML, Deep Learning, and Web3. This repository is part of my practical journey toward becoming an expert in data-driven technology.
- GitHub: AdMub
- LinkedIn: Mubarak Adisa
- Email: admub465@gmail.com
⭐ If you like this project, don’t forget to star the repo!