All About Missing Data Handling
Missing data is an everyday problem that a data professional need to deal with. Though there are many articles, blogs, videos already available, I found it is difficult to find a concise consolidated information in a single place. That’s why I am ...
False Positives vs. False Negatives
Photo by Tengyart on UnsplashIn statistics and in Data Science, there is something called a “False Positive” or a “False Negative.” Now, it is likely that you have come across these terms in your everyday life. They are actually used quite extensi...
Why you’re not a job-ready data scientist (yet)
If there’s one thing I’ve learned from the data science mentorship startup I work at, it’s this: getting feedback on your data science job application or interview is virtually impossible.There are good reasons that companies are cagey about givin...
Things You Should Know Before Doing Your First Machine Learning
Si has hecho tu primer MOOC en Machine Learning (alias Andrew Ng en Coursera) y quieres explorar más oportunidades en este campo o eres alguien que ha estado observando rumores sobre la Ciencia de los Datos y el aprendizaje automático y quieres co...
Would You Rather be a Data Analyst or Data Scientist? How does it feel to be in one of these roles? Find out here.
Photo by Christina @ wocintechchat.com [1].Table of ContentsIntroductionData AnalystData ScientistSummaryReferencesIntroductionAfter working as both a professional data analyst and data scientist, I thought it would be insightful to highlight the ...
How to Get a Job With Python
There are so many websites out there offering job listings for different fields of jobs. Even though you might be at a certain position you should always look for a job and that can get boring. But here comes a simple solution in order to get thro...
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...
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...
