*Part 2 of 3, Creating a Regression Model in Python*

Using the past to predict the future! Say hello to part 2 of 3 in this series on regression modeling with python! In blog 1, I covered the important processing steps prior to creating a linear regression model. In this…

Part 1 of 3, Creating a Regression Model in Python

Using the past to predict the future! Say hello to Regression Modeling! In this three-part series I will show you how to create, use, and check the validity of a regression model with python. …

Getting Presentation Ready Formats with Aggregate Functions

**Introduction**

In a previous post I showed how to use .groupby() with .agg()to summarize large amounts of data (see here). Furthermore, I provided a solution to formatting the output of .agg() functions which can be tricky for the Python beginner given the additional…

**Introduction**

In my previous post I introduced you to some of the basics when viewing, cleaning and transforming your data using Dataframes (see post). In this post I go a step further by showing you how to summarize your data using .groupby(). Like my previous posts, this post is for…

In my previous post I covered my background and goals for Data Science Bootcamp… Becoming a Data Alchemist (see post). Now I am going to introduce you to Python and one of its core tools for working with data, the Dataframe. Having been schooled in C.P.G. Marketing in Corporate America…

**Introduction**

Recently I enrolled in Flatirons Data Science Bootcamp. My learning goals for the program are simple: Data Alchemy: The magical process of transforming data into insights.

My background is in Corporate America, C.P.G Marketing, with a heavy focus on leading teams in New Product Innovation. I have my M.B.A…