Python-bloggers

After our little detour into GARCHery, we’re back to discuss capital market expectations. In Mean expectations, we examined using the historical average return to set return expectations when constructing a portfolio. We noted hurdles to this approach due to factors like non-normal distributions, serial correlation, and ultra-wide confidence intervals. ...

I recently visited a data science meetup where one of the speakers spoke about playing out the Monty Hall problem with his kids. The Monty Hall problem is probability puzzle. Based on the American television game show Let’s Make a Deal and its host, named Monty Hall: You’re ...

Predictive maintenance has been seen as a holy grail for cost cutting manufacturing. There are various steps involved in just feasibility study such as problem identification, sensor installation, signal processing, feature extraction and analysis, and finally modeling. Once a reliable and robust model is developed, the model has to be ...

Regular expression (also abbreviated to regex) really is a powertool any programmer should know. It was and is one of the things I most liked learning, as it provides you with immediate, godlike powers that can speed up your (data science) workflow tenfold. I’ve covered many regex related topics ...

At the time of this COVID 19, there are tons of resources being offered for free to update your skills. If you are an ML enthusiast. and want to learn on how to program then check our both sections related to R and Python. R Harvard has always had free training ...

In our last post, we discussed using the historical average return as one method for setting capital market expectations prior to constructing a satisfactory portfolio. We glossed over setting expectations for future volatility, mainly because it is such a thorny issue. However, we read an excellent tutorial on GARCH models ...

In last few years, AutoML or automated machine learning as become widely popular among data science community. Big tech giants like Google, Amazon and Microsoft have started offering AutoML tools. There is still a split among data scientists when it… Read More AutoML Frameworks in R & Python

We’re taking a break from our extended analysis of rebalancing to get back to the other salient parts of portfolio construction. We haven’t given up on the deep dive into the merits or drawbacks of rebalancing, but we feel we need to move the discus...