FastAPI has Ruined Flask Forever for Me

What do you like best about being a data scientist? It’s definitely modeling and fine-tuning for optimal results. But what does it mean to be a good model if it’s never used or never deployed? To…

Overview: State-of-the-Art Machine Learning Algorithms per Discipline & per Task

Machine Learning algorithms are on the rise. Every year new techniques are presented that outdate the current leading algorithms. Some of them are only little advances or combinations of existing…

Presidential Elections Forecast

Many factors affect the election results as the COVID-19, impeachment, economy, unemployment rate, natural disasters’ response, climate change, foreign policy, people’s loyalty to their party…

10 Underrated Python Skills

Up your Data Science game with these tips for improving your Python coding for better EDA, target analysis, feature analysis and more.

120+ Data Scientist Interview Questions and Answers You Should Know in 2021

120+ Data Scientist Interview Questions and Answers You Should Know in 2021. Interview Questions from Facebook, Yelp, Amazon, Google, Apple, Netflix, and More.

How I became a Software Developer during the pandemic without a degree or a bootcamp

In 2018 I was depressed and unmotivated, I thought of myself as a failure and I thought I was too dumb to finish my degree or learn anything at all, I had no direction in life and just wanted…

Incorporate the Best Practices for Python with These Top 4 VSCode Extensions

As a data scientist, it is essential to have good coding practices because it is easier for coworkers viewing your code and for you to avoid confusion when revisiting your code in the future. You…

How I cracked my MLE interview at Facebook

It was August last year and I was in the process of giving interviews. By that point in time, I was already interviewing for Google India and Amazon India for Machine Learning and Data Science roles…

Streamlit vs. Dash vs. Shiny vs. Voila vs. Flask vs. Jupyter

Nearly every company is sitting on valuable data that internal teams need to access and analyze. Non-technical teams often request tooling to make this easier. Instead of having to poke a data…

3 Python Tricks to Read, Create, and Run Multiple Files Automatically

When putting your code into production, you will most likely need to deal with organizing the files of your code. It can be really time-consuming to read, create, and run many files of data. This…