Data is noisy. How might you make it less noisy?
- [Instructor] We're going to be expanding on our knowledge…of the average by introducing the moving average.…The moving average is simply the average…of a subset of the data, where we have a small window…in which we compute the average,…and then we move that window,…and then we compute the average again,…and we keep repeating this…until we've expended our data.…So in this video, we're going to take a look at…creating line plots, we're going to introduce…the moving average, and then we're going to…plot a moving average.…Let me move back over to my virtual machine now.…
I'm right here where we left off in StockAnalysis,…and I'm going to plot the last plot that we did…in the last video.…Now, you can see the default marker type in this video.…It's a lot of plus signs,…and that doesn't make for an elegant graph.…So, what we're going to do is we're going…to introduce the line plot.…So, plot X11 Data2D.…Now, Data2D is the formal way of introducing data to plot.…
Now, there is the default, which we used in the last video,…
Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
- Data ranges, means, and medians
- Standard deviation
- SQLite3 command line
- Slices of data
- Regular expressions
- Atoms and modifiers
- Character classes
- Line plots of a single variable
- Plotting a moving average
- Feature scaling
- Scatter plots
- Normal distribution
- Kernel density estimation (KDE)
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL: Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Descriptive Statistics
3. Regular Expressions
5. Kernel Density Estimation
6. Course Review
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