mlwhiz

Turning data into insights

Machine Learning algorithms for Data Scientists

As a data scientist I believe that a lot of work has to be done before Classification/Regression/Clustering methods are applied to the data you get. The data which may be messy, unwieldy and big. So here are the list of algorithms that helps a data scientist to make ...

Things to see while buying a Mutual Fund

This is a post which deviates from my pattern fo blogs that I have wrote till now but I found that Finance also uses up a lot of Statistics. So it won't be a far cry to put this on my blog here. I recently started investing in Mutual ...

Donald Trump : Two new Survey Biases

The US elections have got everyone startled. Trump. Seriously. The most powerful man on the entire earth is Donald Trump. Just think about it for a second. The most coveted post in all world and America could not find a better person to fill it? Now to tell you the ...

Pandas For All - Some Basic Pandas Functions

It has been quite a few days I have been working with Pandas and apparently I feel I have gotten quite good at it. (Quite a Braggard I know) So thought about adding a post about Pandas usage here. I intend to make this post quite practical and since I ...

Shell Basics every Data Scientist Should know -Part I

Shell Commands are powerful. And life would be like hell without shell is how I like to say it(And that is probably the reason that I dislike windows).

Consider a case when you have a 6 GB pipe-delimited file sitting on your laptop and you want to find out ...

Behold the power of MCMC

Last time I wrote an article on MCMC and how they could be useful. We learned how MCMC chains could be used to simulate from a random variable whose distribution is partially known i.e. we don't know the normalizing constant.

So MCMC Methods may sound interesting to some ...