The State of the Union is one of the few times in any given year when most people hear a…
Continue Readinganalysis
Fashion Science takes on Seasonal Color Analysis
Let’s test the hypothesis that there are indeed seasons to classify individuals in our data. Classifying a PortraitThe essence of…
Continue ReadingError Analysis in Neural Networks
This is where error analysis comes in. What is Error AnalysisFormally, error Analysis refers to the process of examining dev set…
Continue ReadingMinimally Sufficient Pandas Cheat Sheet
Minimally Sufficient Pandas Cheat SheetTed PetrouBlockedUnblockFollowFollowingJan 31This article summarizes the very detailed guide presented in Minimally Sufficient Pandas. What is Minimally…
Continue ReadingMaking face recognition less biased doesn’t make it less scary
In the past few years, there’s been a dramatic rise in the adoption of face recognition, detection, and analysis technology.…
Continue ReadingA Comprehensive List of Handy R Packages
A Comprehensive List of Handy R PackagesStuff I have found super useful for work and lifeGang SuBlockedUnblockFollowFollowingJan 21Whether Python or R is…
Continue ReadingHow Did Twitter React To Gillette’s ‘Toxic Masculinity’ Ad: A Sentiment Analysis using R and Twitter’s API
How Did Twitter React To Gillette’s ‘Toxic Masculinity’ Ad: A Sentiment Analysis using R and Twitter’s APINathan RodriguesBlockedUnblockFollowFollowingJan 20Picture taken…
Continue Reading“Interesting” Projections — Where PCA Fails.
“Interesting” Projections — Where PCA Fails. An attractive alternative for exploratory data analysis. Steve DriscollBlockedUnblockFollowFollowingJan 16Most data scientists are familiar with principal components…
Continue ReadingA Year in Data: 2018
Below I examine a series of other tracked data points and currently my working hypothesis is one contributing factor was…
Continue ReadingPrincipal Components Analysis
After this transformation, we only really have one relevant dimension and thus we can discard the second axis. Comparing the…
Continue ReadingUseful Sentiment Analysis: Mining SEC Filings (Part 1)
Well, textual data has a lot of power. One of the interesting things with modeling and forecasting is that data…
Continue ReadingHow Blockchain Will Disrupt Data Science: 5 Blockchain Use Cases in Big Data
How Blockchain Will Disrupt Data Science: 5 Blockchain Use Cases in Big DataSalih SARIKAYABlockedUnblockFollowFollowingJan 5Blockchain and Big Data are among the…
Continue ReadingMaster Python through building real-world applications (Part 5)
Because whether we like it or not, people around the world put thousands of reactions and opinions on every topic…
Continue ReadingMy First Adventures in NLP
It’s not like they’re going to get this message soon enough to do anything about it. ”Often we’d end up…
Continue ReadingReview Rating Prediction: A Combined Approach
I will try to prove that combining formerly known data about each user’s similarity to other users, with the sentiment…
Continue ReadingDon’t Let Ad Hoc Analysis Drag you Down
Reporting is the process of organizing data to monitor performance; analysis is the process of exploring data and reports to…
Continue ReadingText Analytics – Mining the Abundance of Wealth underneath the vastness of Text
What exactly is Text Analytics?Text Analytics is the process of examining large collections of written resources to generate new information,…
Continue ReadingIntroducing M3
The current implementation of the query engine is tied to M3DB but the design can support other time series databases.M3…
Continue ReadingI Always Get Sentimental (Analysis) This Time of Year
Here’s one way:compound = []positive = []neutral = []negative = []for x in comments: x_comp = analyzer.polarity_scores(x)["compound"] x_pos = analyzer.polarity_scores(x)["pos"]…
Continue ReadingWould You Recommend?: Customer Analysis With Reviews
So we can get how many times each word is used in each sentiment, say anticipation sentiment group or joy…
Continue ReadingUsing Analysis of Variance with Digital Experimentation Data
Given that Optimizely’s stats engine uses a sequential approach to AB testing to compare the means of two or more…
Continue ReadingBioinformatics and Data Science
Although in industry, the larger the data sets get the more specialized and faster tools are needed for data processing…
Continue ReadingWhat exactly can you do with Python? Here are Python’s 3 main applications.
Here are Python’s 3 main applications.YK SugiBlockedUnblockFollowFollowingJun 14If you’re thinking of learning Python — or if you recently started learning it — you may…
Continue ReadingWhen Social scientists turn Computational: a conference to save humanity?
Once we filled up in carbs, we came back to the Marriott to come up with our awesome Research questions,…
Continue ReadingMachine Learning as a Service: Part 1
Machine Learning as a Service: Part 1Sentiment analysis: 10 applications and 4 servicesSebastian KwiatkowskiBlockedUnblockFollowFollowingJun 9She loves me, she loves me not …Table of ContentsPart…
Continue Reading