Data Mining with Weka
Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone who deals in data. It involves no computer programming, although you need some experience with using computers for everyday tasks. High school maths should be more than enough and you’ll need an understanding of some elementary statistics concepts (means and variances). You can use the hashtag #FLdatamining to talk about this course on social media.
Topics Covered- What is data mining?
- Where can it be applied?
- How do simple classification algorithms work?
- What are their strengths and weaknesses?
- In what ways are real-life classification methods more complex?
- How should you evaluate a classifier’s performance?
- What is “overfitting” and how can you combat it?
- How can ensemble techniques combine the result of different algorithms?
- What ethical considerations arise when mining data?
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| Rating | 5.0★ based on 2 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 3 hours per week |
| Starts | Dec 13 (228 weeks ago) |
| Cost | $84 |
| From | The University of Waikato via FutureLearn |
| Instructors | Ian Witten, Peter Reutemann, Jemma König, Eibe Frank |
| Download Videos | Only via web browser |
| Language | English |
| Subjects | Programming |
| Tags | C Tech & Coding |
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| Rating | 5.0★ based on 2 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 3 hours per week |
| Starts | Dec 13 (228 weeks ago) |
| Cost | $84 |
| From | The University of Waikato via FutureLearn |
| Instructors | Ian Witten, Peter Reutemann, Jemma König, Eibe Frank |
| Download Videos | Only via web browser |
| Language | English |
| Subjects | Programming |
| Tags | C Tech & Coding |
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