Create a Complete Machine learning Web Application Using React And Flask

Create a complete Machine learning web application using React and FlaskPhoto by Alvaro Reyes on UnsplashI have always wanted to develop a complete Machine learning application where I would have a UI to feed in some inputs and the Machine learnin...

Data Science Community Code of Conduct

The data science community exists to facilitate the exchange of information, resources and stimuli among the data science community.We believe that our mission is best accomplished in a friendly, safe and welcoming environment; free from intimidat...

How to create a Gantt chart by accessing the Google spreadsheet API

As we know there are several ways to store our data. Normally, we can read and extract information easily by means of txt,csv files among many others. However, we can also extract information from the Google cloud. In this post we will focus on ex...

What are Data Science recruiters looking for in a resume?

Insights from conversations with DS recruiters.Preparing for a good Data Science resume for an interview or a networking event never gets easy, does it? There is a significant amount of learning, exploration, understanding, and analysis that goes ...

How To Ask For Help

The dos and don’ts of asking for help with data science, programming, or related topics onlineComputer programmers, data scientists, and other tech professionals frequently need to ask for help. Asking for help is a sign of strength! Professionals...

How to keep your skills sharp while data science job hunting

This is the second post of a series I’m writing about dialogues from my company’s internal Slack group. You can check out the first one here.If you’re joining us now, we run a private Slack group that’s half experienced data scientists, and half a...

How to Become a Great Data Scientist in 2020

Next year is your year.This time next year, you are going to look back and be amazed by how much you have grown as a data scientist. I don’t doubt it. And neither should you.To do so, though, will take work and dedication. To start you off right, ...

A Practical Guide for Data Cleaning: Obesity Rate Dataset | How to clean and reformat the raw dataset

The fuel of each and every machine learning or deep learning model is data. Without data, the models are useless. Before building a model and train it, we should try to explore and understand the data at hand. By understanding, I mean correlations...

Data Collection Might Not Be As Easy As It Might Seem

In-depth exploration of data collection processesSome of my most popular repositories on GitHub have been about data collection, either through web scraping or using an Application Programming Interface (API). My approach had always been to find a...

The hardest question you’ve been asked in a data science interview

I work at a YC company that has a evolved an interesting internal Slack group of data scientists. It’s a private group, but recently it got some attention on Twitter and we figured it might help aspiring data scientists if we published a few of th...

How To Think About Data

The real difference between a data engineer and a data scientist — how they thinkAbout a decade ago, when the data science jobs started going mainstream, there was a flood of opportunities in the tech world. However, most companies didn’t understa...

Understanding Cross Validation | How Cross Validation Helps Us Avoid The Pitfalls Of Overfitting

I remember the first quantitative model that I ever built. It was a model that tactically shifted money between U.S. stocks and Emerging Market stocks based on various market and economic factors that I had researched.I spent a ton of time enginee...

My Biggest Career Mistake, In Data Science

An article about the biggest mistake I made in my data science careerIntroductionItwasn’t long ago in my career that someone asked me a question at work. It was a question that made me realize I had made a huge mistake. This mistake damaged the re...

How to teach Data Science

My tips after mentoring over twenty students to become Data Scientists…So how can you teach someone to become Data Scientist? The short answer to these questions is: you can’t teach someone to become Data Scientist… But wasn’t it the title of this...

Data Engineer, Data Science and Data Analyst — What the Difference?

Data is the new oil!The sentence you may have heard many times. The statement is arguably true, for example in ancient times oil was the world’s most valuable resource. It was the key functionality of everything from the government to local compan...

Data Science Trends for 2020

Crucial Data Science Trends for the New DecadeData science is the discipline of making data useful.There is absolutely no doubt that this decade has bought loads of innovation in Artificial Intelligence. Besides Artificial Intelligence, we are wit...

7 Reasons To Not Hire a Data Scientist

Because who needs data?Photo by Nick Coleman on UnsplashI think the title is pretty clear, so let’s get straight to it.#1: You don’t have any dataBefore even thinking about hiring a data scientist, you should step back and consider your data.A dat...

Improve your ML model by trying different approaches

Used cars price prediction using Machine LearningPhoto by Jen Theodore on UnsplashIn this article, we’ll take a look at the recent project I completed where I predicted the prices of used cars based on a number of factors. I found the dataset on K...

How To Manage Time With Pandas

Pandas provides us with the support and tools to manage data in a general way. In this occasion we will talk about how to manage time data with pandas. To do this, we will be guided by the items that follow.The basic concepts that Pandas makes ref...

Understanding the Confusion Matrix and How to Implement it in Python

A Fundamental Concept to Evaluate Your ModelsTable of ContentIntroductionWhat is a Confusion Matrix?Confusion Matrix MetricsExample of a 2x2 MatrixPython CodeIntroductionAnyone can build a machine learning (ML) model with a few lines of code, but ...