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Average colors of the world
I wrote that I wanted to expand creatively beyond maps in 2021, but here we are, halfway in, and half my posts are maps. In my defense, I made these last year and just haven’t gotten around to posting them yet! They’ve been sitting in a folder since December, mocking me. It’s time to get […]
4 Tricks to Use Python F-strings More Efficiently
Have full control over what you print out. String interpolation is a way to embed variables into strings. It makes it easy to manipulate and enrich strings. Thus, the print statements are much more powerful with string interpolation. Formatted string literals, also known as f-strings, are a highly (…)
Czym są niezbalansowane dane klasyfikacyjne i jakie z nimi związane są problemy?
– Tato, pomożesz nam posprzątać klocki lego? Zostały nam tylko trzy kolory do sprzątnięcia! – zapytała Jagódka – Jasne! Jak tylko dostanę buziaka i przytulasa. Za taką zapłatę mogę pomóc. Ja posprzątam czerwone! I wziąłem się za zbieranie. Po chwili usłyszałem niezadowolenie. – Ej, to nie fair! (…)
Spotify Recommendation System using Pyspark and Kafka streaming
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all love listening to our favorite music every day. … The post Spotify Recommendation System using Pyspark and Kafka streaming appeared first on Analytics Vidhya .
Predicting matches for the UEFA Euro 2020 Championship
A simple Poisson regression approach to predict the outcomes of soccer games with a 70% accuracy. Predicting matches for the UEFA Euro 2020 Championship was originally published in Towards Data Science on Medium, where people are continuing the conversation by highlighting and responding to this (…)
Why and how to use BERT for NLP Text Classification?
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction NLP or Natural Language Processing is an exponentially growing field. … The post Why and how to use BERT for NLP Text Classification? appeared first on Analytics Vidhya .
Running Pandas on GPU, Taking It To The Moon🚀
ArticleVideo Book This article was published as a part of the Data Science Blogathon Pandas library comes in handy while performing data-related operations. Everyone starting … The post Running Pandas on GPU, Taking It To The Moon🚀 appeared first on Analytics Vidhya .
Exploring Frequentist and Bayesian Tolerance Intervals in R
Tolerance intervals are used to specify coverage of a population of data. In the frequentist framework, the width of the interval is dependent on the desired coverage proportion and the specified confidence level. They are widely used in the medical device industry because they can be compared (…)
17 Must Know Code Blocks For Every Data Scientist
Discussing the 17 code blocks that will help you to effectively tackle most tasks and projects as a data scientist “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” — Martin Fowler In any programming language, there are certain (…)
Which Religious Groups Have the Most Sex? | Robert Kubinec
There has been plenty of discussion about declining fertility rates and patterns of marriage among people in the United States following the news that the US birth rate declined to its lowest since the Great Depression.
11 Most Useful Built-in Python Modules You Might Not Know Yet | by Khelifi Ahmed Aziz | May, 2021
PYTHON You don’t have to write codes from scratch. Photo by Karolina Grabowska on Pexels When we start a project, we often need the help of some libraries and modules to overcome some problems and accelerate the workflow. Fortunately, Python has plenty of useful built-in modules, as well as (…)
Real time anomaly detection with Apache Kafka and Python
Learn how to make predictions over streaming data coming from kafka using Python. . In this post I’m going to discus how to make real time predictions with incoming stream data from Apache Kafka, the solution we are going to implement looks like this: Solution Diagram. Image by the Author. Icons (…)
Topic modeling and sentiment analysis on twitter data using Spark
Topic Modeling and Sentiment Analysis on Twitter Data Using Spark What are twitter users from a certain region concerned about and what are their reactions towards certain issues? Introduction This is a summary of school project completed with teammates Yishan, Xiaojing, Janice and Ranjit. Twitter (…)
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