NettetA logically inclined thinker who is keen to deliver best insights for data driven decision making. • Working knowledge of creating, debugging and improving supervised and unsupervised learning models. • Experience in predictive analytics using regression and classification models (Binary and multi-class classification, SVMs). NettetMy technical skills include proficiency in Python, Java, SQL, JavaScript, HTML5 ... I have also worked on various projects including movie revenue and rating prediction, email analytics ...

srsridh/Movie-ratings-recommendation-system-in-Python

Nettetfails to provide accurate predictions. The movie data set used for this model is very small. The data used for the model [3] is from IMDb movie data and onsocial media data from Twitter and Wikipedia. These features are then used ratingin factorization machines to predict the ratings of the movie. The model intogave 0.88 R. 2 score. Nettet30. apr. 2024 · Worked with Movies Meta Data to predict movies with higher revenue, analyzed the data to detect relationships between different variables impacting movie … razor bumps ingrown hair

Movie Rating Analysis using Python Aman Kharwal

Nettet14. des. 2024 · return self.task(labels=labels, predictions=rating_predictions) Fitting and evaluating After defining the model, we can use standard Keras fitting and evaluation routines to fit and evaluate the model. Let's first instantiate the model. model = MovielensModel() … Nettet4. mar. 2024 · for movie programs, it is easy to obtain the ratio of watching and deal with it as a user rating, by using regex remove (min) word that suffix the number of minutes in duration feature which is... NettetMovie Rating Prediction Python · Movielens Movie Rating Prediction Notebook Input Output Logs Comments (3) Run 29.3 s history Version 8 of 8 License This Notebook … simpsons house of whacks