Company:Jaypee Institute Of Information Technology Noida

Title: Housing Price Prediction Model (

Duration: 07/2019 – 11/2019)

Details: A computerized prediction model whose objective is to create a prediction model that is well advanced to accurately estimate the price of the house. As continuous house prices, they will be predicted with various regression techniques including linear regression, decision tree, and random forest. The price will be predicted according to the implementation of different algorithms with their accuracy and RMSE values for single and multiple features.

Company:Jaypee Institute Of Information Technology Noida

Title: Predict a Classification- Survived or Deceased

Duration: 12/2019 – 01/2020

Details: In this, I am working with the famous Titanic dataset from Kaggle . In this Challenge, we did a complete analysis of what sorts of people were likely to survive. In particular, we apply the tools of machine learning to predict which passengers survived the tragedy. Logistic Regression is used hereby to perform Classification followed by the analysis of results using the Classification report and a Confusion Matrix.