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Netflix Model Project Instructions

The repository consists of following files:

'SE_Anmol_Clustering.ipynb:' This notebook addresses the clustering part of the project and shows relevant outputs of experiments.

'schneider_electric-classification.ipynb:' This notebook addresses the classification part of the project and shows relevant outputs of experiments.

'netflix_titles.csv:' Original dataset without any clustering labels

'classified_data.csv:' Dataset with clustering lables produced after executing clustering notebook

'Presentation.pdf': Presentation file of the project

Instrunctions to Run

  • Clone the repository and install relevant libraries and framewors: (NumPy, Pands, Matplotlib, TensorFlow, Keras, Seaborn, Scikit-learn)
  • Execute the 'SE_Anmol_Clustering.ipynb' notebook to produce the clustering labels of the data.
  • Execute the 'schneider_electric-classification.ipynb' notebook to train and evaluate the classification model

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Schneider Electric's Technical Assessment

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