YouTube trend metric analysis and return of investment calculation for various channels for helping in decision making across multiple Industries and Company to promote their brand on YouTube Video.

The users rating with respect to different products are trained in the RBM model and the product name comes up as per the top prediction score from model.

Different NLP techniques used to analysing the relationship between characters and chapters in the novel.

The character were ranked based on their interaction with every other character using page ranking algorithm by google.

Trained the video data using pytorch on High Performance Computing Cluster in parallel and serial settings to monitor the code execution time.