Predictive Analytics & Machine Learning
55m 15s
English
Paid
Course description
Predictive Analytics and Machine Learning is a course that will help you master the key concepts and practical skills in data forecasting and machine learning. Join the course to learn predictive analytics and machine learning tools that will help you become a professional in your field.
Watch Online
Join premium to watch
Go to premium
# | Title | Duration |
---|---|---|
1 | Introduction | 06:09 |
2 | Part 1.1 Descriptive Statistics | 10:12 |
3 | Part 1.2 Data Preparation | 12:08 |
4 | Part 1.3 Exploratory Data Analysis (EDA) | 02:49 |
5 | Part 2 Model Selection | 05:05 |
6 | Part 3 Training Machine Learning Models | 07:41 |
7 | Part 4 Results Summary | 11:11 |
Comments
0 commentsSimilar courses

Machine Learning System Design
Sources: Arseny Kravchenko, Valerii Babushkin
Machine Learning System Design is a practical guide to designing effective and reliable machine learning systems. The book covers the entire cycle...

Machine Learning & Containers on AWS
Sources: Andreas Kretz
In this practical course, you will learn how to build a complete data pipeline on the AWS platform - from obtaining data from the Twitter API to analysis, stora
1 hour 33 minutes 34 seconds

Build a Simple Neural Network & Learn Backpropagation
Sources: zerotomastery.io
Learn backpropagation and gradient descent by writing a simple neural network from scratch in Python - without libraries, just the basics. Ideal...
4 hours 34 minutes 9 seconds

Data Preparation & Cleaning for ML
Sources: Andrew Jones
Have you ever heard the expression "data preparation and cleaning"? This is perhaps the most important part of the entire machine learning process.
3 hours 7 minutes 23 seconds

Learn to Build Machine Learning Systems That Don't Suck
Sources: Santiago Valdarrama
A live, interactive course that will teach you from scratch how to design, create, and implement ready-to-use ML systems - no fluff and academic...
32 hours 6 minutes 40 seconds
Want to join the conversation?
Sign in to comment