MovieGrossPredictor

Machine Learning Algorithms to predict overall movie gross using 23 out of the possible 28 features from IMDB dataset from Kaggle

Project Description and Dataset

The Project details, background research, analysis, and implementation of the algorithms can be found here: Project Paper
The Dataset used can be found here: Original Dataset
The Dataset was preprocessed and normalized and the final training and testing sets can be found in the repo. The preprocessing of the data can be found in the project paper

Following image is a test run of the algorithms. The main.cpp includes a simple menu that allows users to run any one of the three algorithms and at the end of the run shows the average error of the different models utilized along with an approximate runtime.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
License.txt		License.txt
README.md		README.md
csv.cpp		csv.cpp
csv.h		csv.h
estimating-movie-gross.pdf		estimating-movie-gross.pdf
kfold.cpp		kfold.cpp
kfold.h		kfold.h
kmeans.cpp		kmeans.cpp
kmeans.h		kmeans.h
knn.cpp		knn.cpp
knn.h		knn.h
main.cpp		main.cpp
movie.cpp		movie.cpp
movie.h		movie.h
perceptron.cpp		perceptron.cpp
perceptron.h		perceptron.h
test_moviedata.csv		test_moviedata.csv
test_run.png		test_run.png
train_moviedata.csv		train_moviedata.csv