About: This video series includes educational sessions to help take the mystery out of modeling! These short 5-10 minute videos each cover a specific predictive modeling concept to help you get a better understanding of how to create your own predictive models.
These videos are targeted at all levels of knowledge, from predictive analytics beginners to seasoned data scientists. Dive in to learn predictive modeling and data science concepts at your own pace!
Table of Contents
- What is Predictive Modeling?
- Predictive Modeling: Getting Started
- Data Preparation Concepts
- Cleaning your Data
- Handling Missing Data
- Outliers
- Exploratory Analysis
- Multicollinearity
- Hypothesis Testing
- Modeling
- Modeling Concepts
- Modeling Field Notes
- Testing the Model
- Scoring
- Reporting and Sharing Results
- After Modeling
What is Predictive Modeling?
This video provides an overview of what Predictive Modeling actually is as well as some examples of its real-world application.
Predictive Modeling: Getting Started
This video provides insight on how to begin tackling your first Predictive Modeling project.
Data Preparation Concepts
An overview of some of the techniques you can use as you prepare your data for analysis.
Cleaning your Data
Before your data is ready for analysis we want to make sure it is clean and ready to go. Watch this video to learn techniques to avoid any glaring errors in your dataset.
Handling Missing Data
This video discusses how to handle any missing data you might encounter.
Outliers
In this video we discuss outliers: how to define, manage, and utilize them.
Exploratory Analysis
After you have collected your data but before you begin modeling, these are a few ideas of the tests and visuals that you will want to create in order to better understand your data and relationships within it.
Multicollinearity
Multicollinearity. What it is and why it is important to understand when building predictive models.
Hypothesis Testing
In this video we explain hypothesis testing- the use of statistics to determine if a hypothesis is true.
Modeling
In this video we discuss modeling and what a model actually looks like when you are building it.
Modeling Concepts
An explanation of some of the ideas and concepts you will encounter as you are building a predictive model.
Modeling Field Notes
In this video, is some collective wisdom from people building predictive models- tips, tricks and ideas.
Testing the Model
In this video, we discuss how to determine the quality of a model based on the outputs that accompany it.
Scoring
In this video, we discuss Scoring- the point at which we put the model to use.
Reporting and Sharing Results
In this video, we discuss what to do with your predictive model results and how to present it in a clear and understandable manner.
After Modeling
In this video, we’ll talk about what steps to take after building a model, as well as how to validate the results and look forward.
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