Full Machine Learning Project — Data Visualization with Matplotlib (Part 3)
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In this video, we are going to create data visualizations to better understand the accelerometer and gyroscope data for the different exercises.
👉🏻 Source material for this week: https://docs.datalumina.io/ccQSzikoeM...
⏱️ Timestamps
00:00 Introduction
01:57 Fix bug from part 2
03:34 Download Python file
04:28 Loading data
05:35 Plot single columns
11:32 Plot all exercises
19:41 Adjust plot settings
24:03 Compare medium vs. heavy sets
31:11 Compare participants
34:45 Plot multiple axis
40:39 Create a loop to plot all combinations per sensor
46:05 Combine plots in one figure
53:58 Loop over all combinations and export figures for both sensor
Project overview (what you will learn)
Part 1 — Introduction, goal, quantified self, MetaMotion sensor, dataset
Part 2 — Converting raw data, reading CSV files, splitting data, cleaning
Part 3 — Visualizing data, plotting time series data
Part 4 — Outlier detection, Chauvenet’s criterion, local outlier factor
Part 5 — Feature engineering, frequency, low pass filter, PCA, clustering
Part 6 — Predictive modelling, Naive Bayes, SVMs, random forest, neural network
Part 7 — Counting repetitions, creating a custom algorithm
Link to playlist: • Full Machine Learning Project: Coding a Fi...
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