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1. Sweet-Sweets-Mania-SpriteKit-Game-With-Continuous-Integration Sweet-Sweets-Mania-SpriteKit-Game-With-Continuous-Integration Public

   A single player game in SpriteKit created completely programmatically without the use of .sks files and Xcode Scene Editor. Implemented continuous integration using Jenkins, Fastlane GitHub, and Un…

   Swift 24 25

2. Networking-with-REST-API-calls-and-URLSession-Unit-Tests-and-Data-Persistence-in-Core-Data Networking-with-REST-API-calls-and-URLSession-Unit-Tests-and-Data-Persistence-in-Core-Data Public

   Networking in Swift with REST API calls and URLSession, that puts the parsed JSON Data from an HTTP based JSON storage endpoint I created into a TableView and persists the data using Core Data with…

   Swift 25 9

3. CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-model CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-model Public

   This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNet…

   Swift 17 22

4. Core-ML-And-Vision-Object-Classifier-Lightweight-Version Core-ML-And-Vision-Object-Classifier-Lightweight-Version Public

   Core ML and Vision object classifier with a lightweight trained model. The model is trained and tested with Create ML straight from Xcode Playgrounds with the dataset I provided.

   Swift 10 15

5. Stock-Price-Forecasting-Using-LSTM-Neural-Networks Stock-Price-Forecasting-Using-LSTM-Neural-Networks Public

   This project aims to forecast Amazon's stock prices using Long Short-Term Memory (LSTM) neural networks, implemented with PyTorch and scikit-learn.

   Jupyter Notebook 1

6. Random-Forest-Classification Random-Forest-Classification Public

   This project demonstrates how to build a Random Forest Classifier to predict music genres using audio feature data from Spotify. The model is trained on a curated subset of the spotify_tracks.csv d…

   Jupyter Notebook 1