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1. Movie-Topics-Clustering Movie-Topics-Clustering Public

   Deployed K-means and Latent Dirichlet Allocation (LDA) to cluster the synopses into topic groups. Applied TF-IDF to vectorize the synopses of Top 100 greatest movies of all time from IMDB. Visualiz…

   Jupyter Notebook 2

2. Web-Scraping-and-NLP-on-Indeed-Job-Postings Web-Scraping-and-NLP-on-Indeed-Job-Postings Public

   Web Scraping from indeed; unsupervised ML approach to classify job postings

   Jupyter Notebook 5 1

3. Movie-Recommendation-Engine Movie-Recommendation-Engine Public

   use Spark APIs to implement Matrix Factorizationan and Alternating Least Squares (ALS) algorithm and predict the ratings for the movies in MovieLens small dataset

   Jupyter Notebook

4. SF-Crime-Analysis-in-Spark SF-Crime-Analysis-in-Spark Public

   Build data processing pipeline based on Spark RDD, Dataframe and Spark SQL for big data OLAP

   HTML 1