Sales Analysis and Prediction using Linear Regression to understand the impact of advertisement spending on sales performance.
#Project Description- The project analysis the linear relationship between the expenditure on avertisement(TV, Radio, Newspaper) with the Sales. The project uses Linear regression to predict the sales based upon advertisement spending. In this project there is also a comparsion of a linear model's performance with the regularisation models(Ridge Regression and Lasso Regression).
#Features
- Exploratory Data Analysis
- Checking Heteroscedasticity and Multicollinearity
- Data Visualisation
- Comparing different Models
- Evaluation of Model's Accuracy
- Cross-validation
#Technology used
- Python
- Numpy
- Pandas
- Matplotlib
- Scikit-Learn
- Seaborn