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Computer Vision Series: Geometric Transformation
Computer Vision Series: Geometric Transformation
Look familiar? He is Sherlock Holmes with his magnifier to “zoom in” tiny details on the sculpture. In 21st century, computers are capable…
Dat Q. Ngo
Feb 9
The greatest match-winners in One Day Internationals: Part 1
The greatest match-winners in One Day Internationals: Part 1
Players who have contributed most to the victory of their teams ranked
RonSg
Feb 10
A Pythonic Way to Predict S&P Revenue Growth
A Pythonic Way to Predict S&P Revenue Growth
Using Python tools to connect OECD macroeconomic indicators to S&P revenue changes.
Bryant Sheehy
Feb 7
Cumulative Binomial Probability Analysis with R and Shiny
Cumulative Binomial Probability Analysis with R and Shiny
Here is an overview of how cumulative binomial probability analysis can be conducted in R, and an interactive graph can then be generated…
Michael Grogan (MGCodesandStats)
Feb 6
Popular Stories
Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know
Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know
There are only a handful of libraries that elicit an instant look of appreciation in a wide variety of developers and programmers. These…
Aishwarya Singh
Jan 19
KNN(K_Nearest Neighbors)
KNN(K_Nearest Neighbors)
KNN is a supervised machine learning algorithm (a dataset which has been labelled) is used for binary as well as multi class…
Pradeepsingam
Jan 21
Developing a tool which plots in Notion automatically
Developing a tool which plots in Notion automatically
I have developed a thing which automatically draws plots in Notion
Denis Shilov
Jan 27
Why You Need to Explore Your Data & How You Can Start
Why You Need to Explore Your Data & How You Can Start
A Step by Step Guide to Exploratory Data Analysis.
Davis David
Jan 22
Understanding of Matrix Factorization (MF) and Singular Value Decomposition (SVD)
Understanding of Matrix Factorization (MF) and Singular Value Decomposition (SVD)
In this blog, I’m going to give a brief about theoretical aspects of Matrix Factorization like what is the purpose & benefits of…
Sai Karthik Chedella
Jan 24
Latest Stories
A treasure map to Twitter Data via Tweepy
A treasure map to Twitter Data via Tweepy
Hi there! Twitter data is a true scrumptious source for anyone wants to develop something great, perform data analysis, test SOTA deep…
Pınar Ece Aktan
Feb 18
Cloud Web Scraper — The Code
Cloud Web Scraper — The Code
Part 3 of my web scraper series, looking at the actual scraping code!
Hugh Gallagher
Feb 18
A Walkthrough NLP Workflow Using MeaLeon: Part 1, Prepping the Data
A Walkthrough NLP Workflow Using MeaLeon: Part 1, Prepping the Data
Last time, I talked about Google’s Word2Vec, why it’s a cool technique, and why it’s not necessarily the best to use with all natural…
Aaron Chen
Feb 18
S.O.L.I.D Principles
S.O.L.I.D Principles
In this article, I’m going to try to explain review the so-called SOLID Principles, and how to implement them in a Pythonic way. We will…
Erdi MOLLAHÜSEYİNOĞLU
Feb 18
Clustering Most Listened Songs of the 2010s Using Spotify Data.
Clustering Most Listened Songs of the 2010s Using Spotify Data.
Create your own content-based recommendation engine with the K-Means algorithm.
Emre Rençberoğlu
Feb 18
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