Understanding Neural Networks
Deep learning is a hot topic these days. But what is it that makes it special and sets it apart from other aspects of machine learning? That is a deep question (pardon the pun). To even begin to answer it, we will need to learn the basics of neura...
Understanding Logistic Regression
If you are interested in running the code I used for this analysis, please check out my GitHub.Logistic regression is one of the foundational tools for making classifications. And as a future data scientist, I expect to be doing a lot of classific...
The Ultimate Glossary of Data Science
Credit: UnsplashData science encompasses a variety of terms. Not only beginners but also professionals having plenty of years of experience can stumble upon one or another term and wonder what it is? Our memory is not perfect, but we can always go...
PostEra is using machine learning to make a COVID-19 drug—this year
Disclaimer: I am a maintainer of Cortex, an open source machine learning engineering platform used in some of the projects mentioned below.Recently, a startup called PostEra announced their intention to develop a COVID-19 treatment “within the yea...
Top 9 Data Science Careers of the Future
Photo by Alex Knight on UnsplashIn the rapidly expanding technological world of today, when humans tend to generate a lot of data, it is quintessential that data is analyzed. Data is now the frontier for business or I can say it has become fuel fo...
Machine Learning Engineers Will Not Exist In 10 Years.
When you can’t find a good title image for the life of you, just add a cat. Photo Creds: UnsplashNote: this is an opinion piece, feel free to share your own opinion so we can continue to move our field in the right direction.Machine Learning will ...
Why you shouldn’t be a Perfectionist as a Data Scientist
I’m not sure about you.Maybe you’re a realist who always thinks realistically and acts in a practical way given any situation to you.Or maybe you’ve struck a balance between being realistic and chasing perfection at the same time.But chasing perfe...
Improving the Performance of a Machine Learning Model
Photo by Chris Liverani on UnsplashIn the previous post, we explored and analyzed a customer churn data set. Then, we built a machine learning model to predict customer churn that achieved an accuracy of %91.7 on the training set and %90.7 on the ...
How to Start a Machine Learning Project
In a previous article, we discussed a lot about what machine learning is, how machine learning works, and examples of the implementation of machine learning. If you are new to machine learning you might ask, how do you start a machine learning pro...
4 Superpowers That Will Make You Indispensable In a Data Science Career
Learn about these biggest Challenges in the Data Science industry to avoid stagnation in your CareerThe challenges people encounter in a data science career are far more serious than the ones they face while getting into it.Often, there is a big m...
Pandas Essentials For Data Science
Photo by Maarten van den Heuvel on UnsplashPython is a popular language in data science, and of course, the most popular language for machine learning in production.However, if you look at the whole landscape of data science, analytics and busines...
Predicting survivors of Titanic
F.G.O. Stuart (1843–1923) / Public domainRMS Titanic was a British passenger liner operated by the White Star Line that sank in the North Atlantic Ocean in the early morning hours of April 15, 1912, after striking an iceberg during her maiden voya...
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 ...
The Reasons Every Entrepreneur Should Implement Business Intelligence (BI)
No matter the size or the industry, there is simply no excuse not to implement Business Intelligence, even more so when we are in the age of data science and artificial intelligence. Because Business Intelligence or BI allows us to make smarter bu...
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...
