You don’t need to have unanswered questions anymore — “So this package creates huge amounts of fake data from this actual data?” “You can say that — but it’s called synthetic data.” “But what’s the point? It’ll be noise. Why don’t you use the actual data itself?” “We can, but there’s not enough data. Also, there are privacy concerns…

An opinionated collection of libraries you definitely would want to checkout — I’m not going to list Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow, PyTorch, etc. You probably know about these already. There is nothing wrong with these libraries; they’re already the bare minimum essential for data science using python. And the internet is flooded with articles about these tools — this piece…

A realistic view of skills interviewers expect from you and how you can achieve them — “I’m a final year student enthusiastic about data science and want to start my career at XYZ. I have done a few data science certifications; what other skills are important for becoming a data scientist?” This is a common question I repeatedly receive in my LinkedIn inbox. It was primarily…

From someone who hated corporates for so long — When I wanted to break into data science, I joined a startup. I’m obsessed with startups, even now. There’s something about the non-hierarchical culture, the own-it attitude, and the growing satisfaction in startups. Honestly, the last thing I wanted to work is a 9–5 job at corporate. But later on…

The aspect of data quality is finally getting the limelight it deserves; here’s why. — The name of Andrew Ng is going down in history on account of his theory that has reformed AI development. We know he’s the former head of Google Brain, former chief scientist at Baidu, and the most prolific and respected figure in the AI community. I mean, haven’t we all…

There’s a new python data processing engine in the town — will I be switching back? — I’m a Senior Data Scientist tackling business problems in the retail domain, where millions of data points are collected daily. The data keeps flowing in — because you and I are shopping daily. My favorite data manipulation library is, of course, pandas. It’s intuitive, and over the years, every data…

And what you need instead — I know how it’s like discovering data science and falling in love. The field is exciting and enticing, and you’re determined to make it a data scientist even when you don’t have the skills. Sadly, with all the hype also comes misinformation. Someone says to do a certification, and another…