Projects

Project Name 01

In this hands-on project, I will be building and training an XGBoost model to predict cervical cancer in 858 patients.
The dataset was collected at 'Hospital Universitario de Caracas' in Caracas, Venezuela and contains demographic information, habits, and historic medical records of 858 patients.
Cervical cancer kills about 4,000 women in the U.S. and about 300,000 women worldwide. Due to increased medical screening, cervial cancer death rate has been reduced by 74% from 1995 to 1992.

In this hands-on project, I will be analyzing a data that describes the factors influencing rate of employee attrition
The dataset contains features such as years at current place of work, distance from home, job satisfaction, manger employee relationship, etc
This analysis will be extremely important for companies to Keep their workers and thereby Reducing costs incurred by hiring new employeess

In this hands-on project, I will be predicting the quality of wines based on different characteristics such as pH, acidic content, etc..
The dataset contains Is readily available on kaggle and various EDA has been previously done on it.
I chose a ANN model for this project to See how accurately the model can predict using the features available