movie-rating-prediction

Predicted the imbd rating of the movie using machine learning algorithm and Neural Network

Pre Processing

1. Removed the null value rows from the data
2. Removed the feature such as aspect ratio, link and many other which didnot had any impact on the prediction.
3. Convert the column having string value to numberical value

Data Visualization:

1. Ploted the histogram of the imdb value to check the distribution.
2. Ploted the pair plot to check relation between features.
3. Ploted the joint plot of feature with imdb score to check there relation with the data and accordingly removed those features.

Result

Model	Accuracy	Mean aboslute error
Random Forest	90.49	0.52
Xg boost	90.3	0.53
Support Vector Machine	85.18	0.82
Decision Tree	87.2	0.73
Neural Network	84.83	0.83

Since random forest and Xg boost performance is similar and according to theory Xg boost performace should be better than random forest because of boasting apporach. XG Boost will be better model for deployment in production.