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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Adjust_for_inflation.ipynb
Adjust_for_inflation.ipynb
 
 
BASE_DATA.csv
BASE_DATA.csv
 
 
Budget.ipynb
Budget.ipynb
 
 
Calc profitability.ipynb
Calc profitability.ipynb
 
 
Calc_director_average.ipynb
Calc_director_average.ipynb
 
 
Classifiers - test.ipynb
Classifiers - test.ipynb
 
 
Classify_ROI.ipynb
Classify_ROI.ipynb
 
 
Classify_with_Genres_and_ROI.ipynb
Classify_with_Genres_and_ROI.ipynb
 
 
Converting Categorical Labels to Numerical.ipynb
Converting Categorical Labels to Numerical.ipynb
 
 
Exploring_the_data.md
Exploring_the_data.md
 
 
Genres.ipynb
Genres.ipynb
 
 
KNN_model-Copy1.ipynb
KNN_model-Copy1.ipynb
 
 
KNN_model-univariate_selection.ipynb
KNN_model-univariate_selection.ipynb
 
 
Making predictions.ipynb
Making predictions.ipynb
 
 
Plotting.ipynb
Plotting.ipynb
 
 
Preprocessing Data - adjusting Content Ratings.ipynb
Preprocessing Data - adjusting Content Ratings.ipynb
 
 
Preprocessing Data - removing unused, duplicate and NaN data.ipynb
Preprocessing Data - removing unused, duplicate and NaN data.ipynb
 
 
Profit.ipynb
Profit.ipynb
 
 
README.md
README.md
 
 
RF vs KNN - with content rating.ipynb
RF vs KNN - with content rating.ipynb
 
 
RF vs KNN.ipynb
RF vs KNN.ipynb
 
 
Ratings 4 - Converting Categorical Labels to Numerical.ipynb
Ratings 4 - Converting Categorical Labels to Numerical.ipynb
 
 
Ratings.ipynb
Ratings.ipynb
 
 
ReturnOnInvestment.ipynb
ReturnOnInvestment.ipynb
 
 
USCPI.csv
USCPI.csv
 
 
labels_adjusted_metadata.csv
labels_adjusted_metadata.csv
 
 
movie_all_relevant_cleaned_metadata.csv
movie_all_relevant_cleaned_metadata.csv
 
 
movie_all_relevant_labels_adjusted_metadata.csv
movie_all_relevant_labels_adjusted_metadata.csv
 
 
movie_all_relevant_rate_adjusted_metadata.csv
movie_all_relevant_rate_adjusted_metadata.csv
 
 
movie_metadata.csv
movie_metadata.csv
 
 
movie_rate_adjusted_metadata.csv
movie_rate_adjusted_metadata.csv
 
 
movies_with_ROI.csv
movies_with_ROI.csv
 
 
movies_with_SplitGenres.csv
movies_with_SplitGenres.csv
 
 
successful_movies_with_ROI.csv
successful_movies_with_ROI.csv
 
 
variable_investigation.ipynb
variable_investigation.ipynb
 
 

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pyfun

Machine Learning Course Project

IMDB gross earnings prediction

Preprocessing Features :

  • Budget : Liv

  • Rating : Liv

  • Language : Liv

  • Actor - name analysis : Emma

  • Genre : Lisa

  • Director : experience : Lisa

Other tasks :

  • Explore which classifiers to uses : Emma

Stack overflow on normalisation in pandas@ http://stackoverflow.com/questions/12525722/normalize-data-in-pandas

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Machine Learning Course Project

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