- My LinkedIn
- Repository containing portfolio of data science projects completed for academic, self learning, and professional purposes.
- Satellite-based detection of illegal manure application in farmland parcels: Supervisor: Prof. Dell'Acqua
- Gradient Descent: I explained how gradient descent works mathematically, and its varients to improve performance.
- Overfitting: My article about what is overfitting, how to detect it, and how to avoid it.
- Cost Functions: My article about cost functions. Covered cost functions include: MSE, RMSE, MAE, MBE, Cross Entropy.
- Unsupervised Learning / Clustering Iris Dataset: Implementation of K-Means Algorithm without any ready library functions.
- Yolov3 Fine Tuning: Fine tuning the Yolov3 model with custom dataset to improve performance.
- Emotion Recognition: Basic CNN model and Transfer Learning Techniques to predict emotions of people from given images.
- Object Detection: Object Detection in sequences of frames.
- Dog Breed Classification: Implementation of a Dog breed classification with FastAi Library.
- UAV Detection: Detection of UAV's with YOLOv3.
- Speech Recognition Flask App: Built a Flask App that gets a WAV file, and with Speech Recognition library, prints the transcripts.
- Machine Learning Crash Course by Google: Credential ID 948342822658
- Python for Data Science and AI
- Data Visualization: Data Visualization on Wealth Nations Dataset.
- Statistical Analysis on EFSA dataset : Perfomed statistical analysis and feature selection on EFSA dataset for the Statistical Learning course in my Master's Degree.