16:20In this video tutorial you will learn how to write standard web scraping commands in R, filter timely data based on time diffs, analyze or summarize key information in the text, and send an email alert of the results of …
01:49:31This presentation will discuss building a business case for your machine learning idea. In this talk, our presenter, Neeti Gupta, will provide a 10-step checklist with examples for the audience to build their own business model.
This 10-step business checklist …
8.328:38We are now ready to build our first model in RStudio and to do that, we cover:
– Correcting column names derived from tokenization to ensure smooth model training.
– Using caret to set up stratified cross validation.
– Using …
9.002:07:31At this Data Science Dojo meetup, Phuc Duong talks about Building a Real-Time Sentiment Pipeline for Live Tweets Using Python, R, & Azure
Supplementary Material found here:
https://github.com/gokul180288/meetup
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01:24:59Modern machine learning libraries make model building look deceptively easy. An unnecessary emphasis (admittedly, annoying to the speaker) on tools like R, Python, SparkML, and techniques like deep learning is prevalent. Relying on tools and techniques while ignoring the fundamentals …
9.001:36:11Lecture Starts at: 8:25
Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These …
01:00:11dplyr is a a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it’s fairly simple to learn and start applying immediately to your work! Oftentimes, with just a few elegant …
04:29Continuing our series on Data Mining Fundamentals, we introduce you to the three data set types, Record, Ordered, and Graph and give you examples of when you would want to use each data set.
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02:16All great learning opportunities are built on a solid foundation. This data mining fundamentals series is jam-packed with all the background information, technical terminology, and basic knowledge that you will need to hit the ground running.
In part 1 of …
04:06In this Data Mining Fundamentals tutorial, we discuss our first data cleaning strategy, data aggregation. Aggregation is combining two or more attributes (or objects) into a single attribute (or object).
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