Machine Learning Terminology & Process For Beginners
Machine Learning Terminology Course Agenda
Machine Learning Terminology & Process For Beginners
0%
Completed
Introduction
Introduction
Course Promo
Video - 15:36 mins
Machine Learning Terminology Course Agenda
Video - 6:55 mins
What Will I Learn?
Video - 5:05 mins
When To Use Machine Learning?
Video - 3:34 mins
Your Feedback
Video - 00:2:43 mins
Machine Learning Problem Framing
In this section you will learn how to frame a machine learning problem in detail
The Business and ML Problem
Video - 00:9:44 mins
Types of Machine Learning
Video - 00:9:58 mins
Machine Learning Algorithms
Video - 00:15:36 mins
Working With DataSets
In this section you will explore and learn about data sets. For example, you will learn how to prepare raw data to be used with machine learning
Different Types of Data
Video - 00:4:44 mins
Data Collection & Integration
Video - 00:6:54 mins
Data Cleaning
Video - 5:50 mins
Data Splitting and Shuffling
Video - 7:35 mins
Data Visualization & Feature Engineering
In this section you will learn about how to visualize your data and use feature engineering with given data sets
What Are Features In Machine Learning?
Video - 00:4:03 mins
Numeric Value Binning
Video - 00:7:01 mins
Model Training & Evaluation
In this section you will learn about training your machine learning model and finally evaluating your machine learning model
Parameter Tuning
Video - 00:5:18 mins
Model Overfitting Vs Underfitting
Video - 00:7:25 mins
Business Goal Evaluation
In this section you will learn how to evaluate your business or organizational goals and objectives before prediction
Goal Evaluation
Video - 00:4:22 mins
Augmenting Data
Video - 00:5:38 mins
Predictions
Video - 00:5:05 mins
Machine Learning In Action Demo
Machine Learning In Action
ML Demo - Creating A Data source and Model
Video - 00:18:29 mins
Preparing Data
Video - 00:15:52 mins
Conclusion & Bonus
In this section you will find bonus lectures and valuable resources
FREE ClayDesk WebHosting
Video - 00:4:52 mins
Machine Learning Glossary
Reading
More
Announcements
Course Info
Finish Course Early?
You have not completed all required lessons and assessments.
Your Progress
0%
Go Back to Course
Complete Anyway