GitHub - dinap18/Big_Data: Homework assignments from the course, Big Data. Topics covered include: data warehousing, linear regression, NLP, KMeans, TF-IDF, PCA, decision trees, data cleaning, and recommendation systems - UBCF and IBCF. The assingments were completed with the following tools: R, RStudio, DataGrip, MySQL, and R libraries such as ggplot2, recommenderlab, quanteda, rpart, lubridate, RMySQL, and sqldf.

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Homework assignments from the course, Big Data. Topics covered include: data warehousing, linear regression, NLP, KMeans, TF-IDF, PCA, decision trees, data cleaning, and recommendation systems - UBCF and IBCF. The assingments were completed with the following tools: R, RStudio, DataGrip, MySQL, and R libraries such as ggplot2, recommenderlab, qu…

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Name		Name	Last commit message	Last commit date
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.idea		.idea
Book Crossing Recommender System		Book Crossing Recommender System
Power Consumption Data Warehouse and Linear Regression		Power Consumption Data Warehouse and Linear Regression
okcupid - NLP and Clustering		okcupid - NLP and Clustering