Hi ML Enthusiasts! Today, we will be learning about one of the most popular and power package of Python, Pandas and its usage in the world of data science.
Category: DS Languages
Introduction to NumPy
While working on Data Science or Machine Learning or any analysis we always need a way which provides efficiency in storage, efficiency in manipulation of numerical arrays & that too quickest possible way. Thankfully! Numpy provides us all of this.
Portfolio Returns using Python: FA3
Portfolio Returns using Python Financial Analytics – Introduction Hi MLEnthusiasts! Here’s the part 3 of our financial analytics series. Today, we will be learning how to calculate the cumulative return of the portfolio of securities, given the returns of individual stocks, using python. You may like to go through part 1 of Financial Analytics series […]
Log Returns using Python: FA2
Log Returns using Python Hi ML Enthusiasts! Through this article, of Financial Analytics series, we’ll be learning the concept of logarithmic rate of return and how to calculate Log Returns using python. So, let’s get started by understanding the concept of Logarithmic Rate of Return which is one of the most asked topic in Financial […]
Simple Returns using Python: FA1
Simple Returns using Python Hi MLEnthusiasts! Today, we’ll be learning the concept of simple rate of return and how to calculate simple returns using python. And with this article Financial Analytics: Part 1 we are starting are Financial Analytics tutorial series. Through this series you will learn all aspects of Financial Analytics & will become […]