Learn Machine Learning with Weka
Learn Machine Learning with Weka, available at $27.99, has an average rating of 3.1, with 22 lectures, based on 20 reviews, and has 612 subscribers.
You will learn about Machine Learning using Weka Software This course is ideal for individuals who are Beginner Data Analyst and Data Scientist interested to learn Machine Learning and Weka. It is particularly useful for Beginner Data Analyst and Data Scientist interested to learn Machine Learning and Weka.
Enroll now: Learn Machine Learning with Weka
Summary
Title: Learn Machine Learning with Weka
Price: $27.99
Average Rating: 3.1
Number of Lectures: 22
Number of Published Lectures: 22
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Machine Learning using Weka Software
Who Should Attend
- Beginner Data Analyst and Data Scientist interested to learn Machine Learning and Weka.
Target Audiences
- Beginner Data Analyst and Data Scientist interested to learn Machine Learning and Weka.
Why learn Data Analysis and Data Science?
According to SAS, the five reasons are
1. Gain problem solving skills
The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.
2. High demand
Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.
3. Analytics is everywhere
Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It’s a hugely exciting time to start a career in analytics.
4. It’s only becoming more important
With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.
5. A range of related skills
The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.
The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.
This is the bite-size course to learn Weka and Machine Learning. You will learn Machine Learning which is the Model and Evaluation of the CRISP Data Mining Process. You will learn Linear Regression, Kmeans Clustering, Agglomeration Clustering, KNN, Naive Bayes, and Neural Network in this course.
Content
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Getting Started
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Getting Started 2
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Data Mining Process
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Simple Linear Regression
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Regression in Weka
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KMeans Clustering
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KMeans Clustering in Weka
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Agglomeration Clustering
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Agglomeration Clustering in Weka
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Decision Tree: ID3 Algorithm
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Decision Tree in Weka
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KNN Classification
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KNN in Weka
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Naive Bayes
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Naive Bayes in Weka
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What Algorithm to use?
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Model Evaluation
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Weka Advanced Attribute Selection
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Weka Advanced Data Visualizations
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Weka Model Selection and Deployment
Course Curriculum
Chapter 1: Introduction
Lecture 1: Getting Started
Lecture 2: Getting Started 2
Lecture 3: Data Mining Process
Lecture 4: Simple Linear Regression
Lecture 5: Regression for Weka
Lecture 6: KMeans Clustering
Lecture 7: KMeans Clustering with Weka
Lecture 8: Agglomeration CLustering
Lecture 9: Agglomeration Clustering with Weka
Lecture 10: Decision Tree: ID3 Algorithm
Lecture 11: Decision Tree with Weka
Lecture 12: KNN Classification
Lecture 13: KNN with Weka
Lecture 14: Naive Bayes ALgorithm
Lecture 15: Naive Bayes with Weka
Lecture 16: Neural Network
Lecture 17: Neural Network in Weka
Lecture 18: What Algorithm to use?
Lecture 19: Model Evaluation
Lecture 20: Weka Advanced Attribute Selection
Lecture 21: Weka Advanced Visualizations
Lecture 22: Weka Model Selection
Instructors
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Goh Ming Hui
Offer affordable data science courses.
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 2 votes
- 3 stars: 4 votes
- 4 stars: 6 votes
- 5 stars: 2 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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