CardioPredict: Revolutionizing Heart Failure Diagnosis with AI

In the "Heart Failure Prediction > 81% using PyCaret" project, advanced machine learning techniques are employed to predict heart failure. Leveraging PyCaret, a Python library that streamlines machine learning workflows, an effective predictive model was developed.

NeuralRegressionModel vs LinearRegressionModel in House price prediction

In the house price prediction project, we compare two approaches: a neural regression model implemented with PyTorch and a linear regression model using PyCaret. While the PyTorch neural model is capable of capturing complex and non-linear relationships in the data, it requires fine-tuning of hyperp

Pyspark and cluster analysis

The "PySpark and Cluster Analysis" project is an exciting exploration of movie data, delving into English and non-English films through the powerful lens of PySpark. It's a data-driven journey that cleverly uses SQL queries and the K-means algorithm to uncover hidden patterns in the cinematic univer

Predictive modeling with PySpark

In my "Predictive Modeling with PySpark" project, I used Python and PySpark to predict whether bank customers would sign up for term deposits. I worked with a dataset featuring customer demographics, transaction history, and contact details.

Predicting Portuguese Bank Term Deposit

In my project "Predicting Portuguese Bank Term Deposit", I employed Exploratory Data Analysis (EDA) techniques and developed a classifier to predict the likelihood of clients at a Portuguese bank subscribing to a term deposit.