Hi ML Enthusiasts! In this tutorial, we will be continuing our tutorial on how to handle missing data.
Author: Jyoti Dixit
Handling missing values – Part 1
Hi ML Enthusiats! Today, we will learn how to handle missing values in Python using pandas and numpy.
Introduction to Pandas
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.
Linear Regression Steps
Linear Regression steps Hi MLEnthusiasts! Today, we will discuss the steps to perform linear regression and in subsequent articles, we will discuss how to perform them by means of case-studies! Understand the problem statement. Generate the hypothesis Making the linear regression model Step 1: Data Preparation Import data View data Check the summary of data […]
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Financial Analytics – Part 3
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. The Theory Before jumping on code, let’s first understand the theory behind calculating the cumulative return of portfolio of […]