GOAL
The goal of this project is to predict predict revenue of movies based on the dataset provided.
Dataset can be downloaded from here
MODELS USED
- Linear Regression
LIBRARIES NEEDED
- numpy
- pandas
- seaborn
- matplotlib
- scikit-learn
- wordcloud
- datetime
- ast
- collections
STEPS BEING FOLLOWED
- Load the dataset
- Import libraries
- Data analysis
- Data Pre-Processing
- Data Visualization
- Convert text to numerical data
- Splitting data into test and train
- Linear Regression model
- Calculate of mean square error
CONCLUSION
By using Linear Regression
Mean square error: 73236281.68431354