For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetchπ, data from the π», imdb website π and converted into txt files.
This project aims to develop a machine learning model to classify movies into genres based on various features such as plot summaries, cast, crew, and other metadata.
The workflow includes:
Data Preprocessing: Load and clean the dataset, extract relevant features, and split the data into training and testing sets.
Model Training: Train a machine learning model (e.g., Logistic Regression, Random Forest, Neural Network) on the training data.
Model Evaluation: Evaluate the model's performance using metrics like accuracy, precision, recall, and F1-score.
Usage Instructions: Provide guidelines for using the trained model to predict genres for new movies.
This project aims to automate movie genre classification, enhancing user experience by helping them find movies of interest more easily. It also serves as an educational resource for participants, fostering learning and growth in data science and machine learning.
Type of PR
[ ] Bug fix
[ β] Feature enhancement
[ ] Documentation update
[ ] Other (specify): ___
Checklist:
[ β] I have performed a self-review of my code
[ β] I have read and followed the Contribution Guidelines.
[ β] I have tested the changes thoroughly before submitting this pull request.
[ ] I have provided relevant issue numbers, screenshots, and videos after making the changes.
[ ] I have commented my code, particularly in hard-to-understand areas.
Related Issue
Classified the movie according genre
Description
This project aims to develop a machine learning model to classify movies into genres based on various features such as plot summaries, cast, crew, and other metadata.
The workflow includes:
This project aims to automate movie genre classification, enhancing user experience by helping them find movies of interest more easily. It also serves as an educational resource for participants, fostering learning and growth in data science and machine learning.
Type of PR
Checklist: