Personal Projects

2022

Detecting malaria in cells using tensorflow and keras

Malaria is the 5th leading cause of death in the world (PA.gov). This dataset interested me the most at the time because it served as a first step into creating ML models that can impact human lives. This project features binary image classification using Convolutional Neural Network (CNN).

View Project on Google Colab

2022

Estimating California home prices in 1990 based on home features

In this project, I used Linear Regression, MLP Regressor and Random Forest Regressor to calculate an evaluation for California houses based on features such as AverageRooms, Latitude, Longitude and HouseAge.

View Project on Google Colab

Telco Customer Churn Prediction

Customer Churn is a huge problem that many companies face. So, I decided to start a new project with this topic as it will be highly relevant, especially in the data science field.

This is a Supervised Binary Classification problem featuring a Telco dataset of 7043 customers that have churned or not churned. I will use and fine-tune multiple supervised machine learning algorithms (Random Forest, Logistic Regression, etc) to predict if a customer will churn or not.

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