Movie Success Prediction using Machine Learning

Project Code :TCMAPY979

Objective

The Machine Learning objective of Movie Success Prediction is to analyze various factors such as actors, directors, genre, budget, and social media buzz, using data mining and machine learning techniques, to accurately forecast the commercial success or Machine Learning of upcoming films. This Machine Learnings stakeholders in decision-making, marketing strategy, and investment planning.

Abstract

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on 30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. Machine learning (ML) based forecasting mechanisms have proved their significance to Anticipate in perioperative outcomes to improve the decision making on the future course of actions. In this project we are using Multiple Logistic regression algorithm as our proposed algorithm by comparing with linear regression, Lasso Regression, Logistic Regression and Bayesian Ridge Regression algorithms. In this project the dataset was taken from publicly available dataset. Our proposed algorithm outperforms the remaining algorithms in terms of r2 scores.

KEYWORDS: Machine Learning, Covid-19, Multiple Logistic Regression, Regression, r2score

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.