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
- 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