SQL Joins: A Brief Example Understand The Why And How Of SQL Joins

This blog post was originally intended to be a side-note in my Pandas Join vs. Merge post. But it turned out to be long enough to warrant its own post (and way too verbose for a side-note). It’s not meant to be a full-on primer on SQL joins, but r...

Build A Web Data Dashboard In Just Minutes With Python

Exponentially increase power & accessibility by converting your data visualizations into a web-based dashboard with Plotly Dash.Build a web data dashboard — in just a few lines of Python codeI don’t know about you, but I occasionally find it a...

Random Forests for Complete Beginners

Random Forests is one of my favorite data mining algorithms. Invented by Leo Breiman and Adele Cutler back in the last century, it has retained its authenticity up to this day, no changes were added to it since its invention.Without any exaggerati...

Solution to Python Mini-Project

In the previous blog entry, we saw a mini python project in 20 steps, here you can find the solution to the exercise and solve your doubts about it. lovely_loveseat_description = """ Lovely Loveseat. Tufted polyester blend on wood. 32 inches ...

Don’t Learn Machine Learning

Learn how to build software with ML modelsSource: PexelsDisclaimer: The following is based on my observations of machine learning teams — not an academic survey of the industry. For context, I’m a contributor to Cortex, an open source platform for...

Understanding Clustering Extract Natural Groups Automatically from Complex Dataset

Source (Unsplash)What is ClusteringClustering is an unsupervised learning technique to extract natural groupings or labels from predefined classes and prior information. This is an important technique to use for Exploratory Data Analysis (EDA) to ...

Best Data Science Tools for Data Scientists

Data science tools, that make the tasks achievableData Analysis to make powerful decisions(source)AI has taken over a lot of our mundane tasks and made life easier for us in the process. The credit for this goes to the insane amount of research an...

Data Visualization: Say it with Charts in Python

A complete hands-on guide to the best practices and concepts of visualization in python using matplotlib, pyplot, and seabornPhoto by William Iven on UnsplashBusiness Intelligence, BI is a concept that usually involves the delivery and integration...

Land Your First Data Science Job

10 Practical Tips on how to get employed as a Data Scientist as soon as you graduate.Image by StartupStockPhotos from PixabayYou have worked hard for several months to learn the ’ins and outs’ of statistics and programming, and you have remembered...

When and How to Build out Your Data Science Team

When and How to Build out Your Data Science TeamAssess your maturity level, find the skills you need and create a data cultureIncreasingly, startups across the spectrum are looking to Artificial Intelligence (AI) to help them solve business proble...

Deep Learning in a cloud. How to get started with Google Colab and why?

Image by FelixMittermeier from PixabayIntroductionIn this article, I will introduce you to Google Colab which is a tool similar to Jupyter notebook that allows you to run the code in the cloud. I will walk you through:What Google Colab is and why ...

Travel, Database and Python. Let The Adventure Begin!

In this blog we'll see a brief but very useful introduction to managing and creating databases through Python, while we look at some sites that are worth visiting. The idea is to create our own database with tourist destinations and for this we wi...

Why Do Engineers and Entrepreneurs Have Problems Working Together?

When you think of engineers (and specifically data scientists), you are most likely imagining someone who works in a technology company. As a result, you would expect a perfect working relationship between engineers and entrepreneurs.However, ther...

How I Overcome Imposter Syndrome in Data Analytics | Finding Your Place in Data and Tech Companies Like Google and Visa

Source (Unsplash)“Congratulations! Google is a great company to work and improve your data analytics skills!! You will meet very smart and driven people doing big things that matter.” My colleagues at Visa congratulated me.In July 2019, I was hire...

AI Engineers: What They Do and How Much They Cost? | AI Engineer’s Skills, Roles, and Money

“If you want to command a multiyear, seven-figure salary, you used to have only four career options: chief executive officer, banker, celebrity entertainer, or pro athlete. Now there’s a fifth — artificial intelligence expert.” — UnknownImagine a ...

Don’t Worry, Excel is Surprisingly Effective

Photo by Mika Baumeister on UnsplashIt is common for data scientists to look down on Microsoft Excel. Compared to a programming language like Python, it seems like a tool from the stone age. It doesn’t scale well, it’s hard to reproduce results, ...

10 Python Pandas Tricks That Make Your Work More Efficient

10 Python Pandas tricks that make your work more efficientSome commands you may know already but may not know they can be used this wayPhoto from https://unsplash.com/Pandas is a widely used Python package for structured data. There’re many nice t...

How to build your Ultimate Data Science Portfolios | A Great Data Scientist Builds Products that Matter

Build your portfolio (Unsplash)“I am going to build a fitness tracker to analyse my fitness/diet metrics”“I have these Tableau dashboards that I worked on. No plan, just for fun”A few days ago, I had a talk with a Data Scientist/ ML Engineer from ...

Here’s What a Data Analyst Actually Do

Image by mohamed Hassan from PixabayI’ve read several articles that gave me a laundry list of things that a data analyst does, but in the simplest sense, you are analyzing and visualizing data. Each company has their own databases that you can que...

Google Believes Machine Learning Frameworks Need Five Key Things to Reach Mainstream Developers

Google Research conducted a detailed survey within TensorFlow.js developers to determine the key elements that streamline adoption of machine learning frameworks.Machine learning(ML) could be the most important element of the next generation of so...