MachineLearnig-Project

Files

tcss555: It is a script to run the prediction algorithm and save the results in output file. Input it should be executed in following manner: tcss555 -i /data/public-test-data -o ~/output/
project2.py: Is the main python file which reads the training and test data and refers different files to run prediction algorithm. It also saves the output
Gender_By_Status.py: This file predicts the gender of the user using the status messages. It uses naive bayes classifier
Gender_By_Likes.py: This file predicts the gender of the users using the likes of the user.
Age_by_Likes.py: This file predicts the age of users based on the likes
personalities_by_Likes.py: This file predicts the emotions of users based on the likes
testAccuracy.py: similar to project2.py, this file gets the input, splits it into test data and train data and calls the other algorithms to get the prediction. But instead of saving the output, it calculates the accuracy of the result. It is convenient to use this file to calculate accuracy rather than modifying project2.py

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
__pycache__		__pycache__
Age_By_Likes.py		Age_By_Likes.py
Age_By_Status.py		Age_By_Status.py
Emotions_By_Status.py		Emotions_By_Status.py
Gender_By_Image.py		Gender_By_Image.py
Gender_By_Likes.py		Gender_By_Likes.py
Gender_By_Status.py		Gender_By_Status.py
README.md		README.md
cnn_image_classifier.py		cnn_image_classifier.py
cnn_image_data_processor.py		cnn_image_data_processor.py
cnn_image_model_generator.py		cnn_image_model_generator.py
personalities_by_Likes.py		personalities_by_Likes.py
project2.py		project2.py
project3.py		project3.py
tcss555		tcss555
testAccuracy.py		testAccuracy.py
testAccuracyForAge.py		testAccuracyForAge.py
trained_cnn_image_classifier.h5		trained_cnn_image_classifier.h5
trained_cnn_image_classifier_gender_old_50epochs.h5		trained_cnn_image_classifier_gender_old_50epochs.h5