This repository contains my Kaggle projects, which are a combination of Jupyter Notebooks and Python scripts.
| Project | Description |
|---|---|
| VS: How CNN Works EDA | In this project, I explore the visual CNN architectures and perform the basic classification on dog vs cat dataset. |
| ResNet50 EDA: Transfer Learning | In this project, I use the pre-trained ResNet50 model to perform transfer learning on the brain tumor dataset |
| EfficientNetB7 Explained + 98% Fine-tuning EDA | In this project, I explain the architecture of EfficientNetB7 and use it to perform transfer learning on the pistachio image dataset, achieving a test accuracy of 98%. |
| ResNet50 from Scratch EDA | In this project, I implement the ResNet50 architecture from scratch and train it on the animal dataset and perform multi image classification. |
- Python 3
- Jupyter Notebook
- TensorFlow and Keras libraries
To set up the project on your local machine, follow these steps:
- Clone the repository: `git clone https://github.com/106AbdulBasit/Kaggle-Projects.git