Pradeep S

Project name(client project):Sales Force Effectiveness.

• Problem statement: The goal of project is to make ML model to predict the lead category of customer
• and data exploration,(High Potential , Low Potential).
• Technical challenges: This dataset belongs to a binary classification task.
• Solving methodology: Performed EDA, feature engineering, feature selection and use ensemble approach to create the best model.
• Goal: Aim is to increase the number of potential customers.
• Tools : MYSQL

• Problem statement : Identify patients having an heart diseases, [Infected or not]
• Technical challenges: This dataset belongs to a Binary classification.
• Solving methodology : Performed feature engineering, feature selection and create a best model were trained and predictions are made with different algorithms like Linear Regression, Decision Tree,Logistic Regression etc

• A new coronavirus designated 2019-nCoV was first identified in Wuhan, the capital of China's Hubei province.
• Problem statement: The main aim is an effort to analyze the cumulative data of confirmed, deaths, and recovered cases over time.
• Solving methodology: This project basically aims to visualize the daily increased case for affected countries.

• Problem statement: The goal of the project is to predict the price range over mobile phones based on features.
• Technical challenges: This dataset belongs to a linear regression.
• Solving methodology :Performed feature engineering, feature selection and use ensemble approach to create the best model.