My Projects
Here are some of the personal and academic projects I've worked on, focused on machine learning, data science, and real-world applications.
Investment Dashboard
An interactive dashboard for predicting stock returns using machine learning and visualization tools.
PythonTabNetPlotly Dash
View Project →Machine Learning Projects
Implementations of different ML models for classification and regression problems.
XGBoostRandomForestKNNSVMLogisiticRegresion
View Project →Image Classification with Neural Networks
The project investigates the performance of convolutional neural networks (CNNs) with ResNet18, a custom neural network for regression, and Random Forest for comparison.
TensorflowRandomForestPytorch
View Project →Big Data Analytics Project
The project explores predictive capabilities of machine learning algorithms in forecasting term deposit subscriptions within the banking sector.
PySparkScikit-learnMatplotlibXGBoost
View Project →