Prediction using Linear Regression
Building a prediction model for salary hiking
Objective
Is to build a predictive model for salary hiking
Overview
Used Necessory libries to perform EDA, Plotting and to get data information.Used Linear Regression model to predict the salary hike based on yearExperience.
Methodology
1.Preproccesing and EDA:
Performed EDA to get more informative features like null values,outliers,correlation and so on. and got the below insights.
- No Null values in the dataset
- No outliers in the dataset
- There is good correlation between the two variables. The score is 0.98 which shows the strong positive correlation.
- variation is constant along the way in data
2.Model Building:
Used Simple Linear Regression model
3.Model Validation:
- R Square values