A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
📝 Text Data Analysis & Machine Learning on supermarket's Social Network non-English Comments using limited language resources via Java, Scala & Apache Spark.
This is the repository for Youtube Project for the subject PBDA. We are implementing analysis for finding top videos in each and every category. Also, we are planning to find the top trending words in each category.
Hello-world kind of notebook would be great to integrate in Snorkel, so you don't come in an empty Zeppelin.
As discussed with @a-pagano it could also help people know where to put their data