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Relevant Projects. Machine learning for Retail Price Recommendation with R Use the Mercari Dataset with dynamic pricing to build a price recommendation algorithm using machine learning in R to automatically suggest the right product prices.

View Project Details. In this deep learning project, you will build your own face recognition system in Python using OpenCV and FaceNet by extracting features from an image of a person's face. This project analyzes a dataset containing ecommerce product reviews.

The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems. The project will incorporate slot filling and context management and will be supporting the following intent and entities. Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data. Install Steam. Scribblenauts Unlimited Store Page. It is only visible to you. If you believe your item has been removed by mistake, please contact Steam Support.

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This item will only be visible in searches to you, your friends, and admins. See our Privacy Policy and User Agreement for details. Create your free account to read unlimited documents. However, RCFile has limitations because it treats each column as a binary blob without semantics.

The upcoming Hive 0. ORC uses type specific readers and writers that provide light weight compression techniques such as dictionary encoding, bit packing, delta encoding, and run length encoding -- resulting in dramatically smaller files. Additionally, ORC can apply generic compression using zlib, LZO, or Snappy on top of the lightweight compression for even smaller files.

However, storage savings are only part of the gain. ORC supports projection, which selects subsets of the columns for reading, so that queries reading only one column read only the required bytes. Furthermore, ORC files include light weight indexes that include the minimum and maximum values for each column in each set of 10, rows and the entire file. The SlideShare family just got bigger. Home Explore Login Signup. Successfully reported this slideshow.

We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime. ORC Files. Upcoming SlideShare. You are reading a preview. Create your free account to continue reading. Sign Up. Like this presentation? Why not share!