Welcome to the repository of various machine learning projects. Each subfolder contains a specific project with its own detailed description.
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- This folder contains a project focused on classifying images from the Fashion MNIST dataset. Fashion MNIST is a dataset of Zalando's article images. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
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- The German Traffic Sign Recognition Benchmark (GTSRB) project focuses on recognizing traffic signs. This dataset includes more than 50,000 images of 43 different traffic signs. The project aims to build a model capable of accurately classifying these signs.
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- This project involves sentiment analysis on the IMDB movie reviews dataset. It uses one-hot encoding for text preprocessing and then classify movie reviews as positive or negative. The dataset contains 50,000 reviews divided equally into training and testing sets.
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- This project implements a neural network to recognize handwritten digits from the MNIST dataset. MNIST is a classic dataset consisting of 70,000 grayscale images of handwritten digits (0-9), each 28x28 pixels in size.
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- The Recurrent Neural Network (RNN) project explores sequence prediction tasks. RNNs are well-suited for tasks involving sequential data. This folder contains an example and implementation of RNN applied to an own made data.
To get started with any of the projects, navigate to the respective subfolder and follow the instructions provided in the README file within that folder.
For any issues or questions, please feel free to open an issue in this repository. Contributions are welcome!