Heart Disease Prediction

In this project, I developed a machine learning model to predict the likelihood of heart disease in patients based on various health indicators.

Employee Performance Analysis

The Goal and Insights of the project are as follows: Department wise performances Top 3 Important Factors effecting employee performance A trained model which can predict the employee performance based on factors as inputs. This will be used to hire employees Recommendations to improve the employee

Game Winner Prediction

Created a predictive model which is an attempt to predict the win probability of the Pubg match and to look at the important factors affecting the win probability of the pubg game.

Hand Written Digits Recognition

Target is to recognize the handwritten digits from MNIST (Modified National Institute of Standards and Technology) dataset. CNN The model gives highest accuracy score of 98%.

Forest Cover Prediction

Target is to create a predictive model which helps to predict seven different cover types in four different wilderness areas of the Forest with the best accuracy.