Python pip Tips for Data Scientists
Data Scientists use to work with Anaconda Environments and for installing packages they use to run the “conda” commands. However,
Unix Sed Command Tutorial with Examples
Sed (stream editor) is a very powerful tool for parsing and transforming text that was developed back in 1973 at
How To Create an Instagram Profile Analyzer App Using Python and Streamlit
Streamlit is a great library that helps us create python apps with minimum effort. Not only it’s easy but its
How to make Interactive Maps with Folium
Folium provides a python interface for leaflet.js. Leaflet.js is a Javascript library for interactive maps and can be useful to
Transfer Learning on Images with Tensorflow 2
In this tutorial, we will provide you an example of how you can build a powerful neural network model to
How to Fish the Bitcoin Whales
In the cryptocurrency market, the big whales play a key role. These movements affect significantly the market. Take for example
Interview Questions Vol.1
It is common to be asked to build some functions in Python (or any other programming language) during interviews in
Tips And Tricks For Data Scientists Vol.8
We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In case you have
How To Get A Sentiment Score For Words with Naive Bayes
We have provided an example of how to get a sentiment score for words in Python based on ratio frequency.
Naive Bayes Classification in NLP tasks from Scratch
In this tutorial, we will get the Bayesian Score of each word as well as of the whole Subject Line.
Market Basket Analysis and Association Rules from Scratch
We have provided a tutorial of Market Basket Analysis in Python working with the mlxtend library. Today, we will provide
