Some useful examples of Deep Learning (.ipynb)
GMDB is the ultra-simple, cross-platform Movie Library with Features (Search, Take Note, Watch Later, Like, Import, Learn, Instantly Torrent Magnet Watch)
My notebooks on the book "Deep Learning with Python" by Francois Chollet (2018)
Exploring data analysis using Python with Jupyter notebooks, Matplotlib, Pandas and NumPy arrays.
This repository contains a Jupyter notebook that demonstrates the creation of a content-based movie recommendation system using Natural Language Processing (NLP) in Python.
Finds interesting patterns in an IMDb ratings export; written as a Jupyter notebook, viz using Seaborn
Machine learning analysis of classic cinema (1915–1960) using reproducible notebooks, clustering, NLP, and trend exploration.
🎬 Jupyter Notebook on the question: How much disk space does one need to store all relevant movies?
Sentiment Analysis on IMDB movie reviews using LSTM with GloVe embeddings in a clean Jupyter Notebook. Includes preprocessing, tokenization, embedding, model training, and evaluation to classify reviews as Positive or Negative.
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