Code-along sessions move you from introductory machine learning concepts to concrete code.
Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond nodding along in discussion to coding machine learning tasks. These videos show you how to turn introductory machine learning concepts into concrete code using Python, scikit-learn, and friends.
You learn how to load and explore simple datasets; build, train, and perform basic learning evaluation for a few models; compare the resource usage of different models in code snippets and scripts; and briefly explore some of the software and mathematics behind these techniques.
Skill Level
Beginner
Learn How To
Build and apply simple classification and regression models Evaluate learning performance with train-test splits Evaluate learning performance with metrics tailored to classification and regression Evaluate the resource usage of your learning models
Who Should Take This Course
If you are becoming familiar with the basic concepts of machine learning and you want an experienced hand to help you turn those concepts into running code, this course is for you. If you have some coding knowledge but want to see how Python can drive basic machine learning models and practice, this course is for you.
Course Requirements
A basic understanding of programming in Python (variables, basic control flow, simple scripts)
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/01 - Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1 (Video Training) - Introduction.mp4
141.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/02 - Topics.mp4
14.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/03 - 1.1 Environment Installation.mp4
184.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/04 - 1.2 Three Things You Can do with NumPy and matplotlib.mp4
283.1 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/05 - 1.3 Three Things You Can Do with Pandas.mp4
263.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/06 - 1.4 Three Things You Can Do with scikit-learn and Friends.mp4
242.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/07 - Topics.mp4
17.3 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/08 - 2.1 Probability.mp4
144 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/09 - 2.2 Distributions.mp4
197.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/10 - 2.3 Linear Combinations.mp4
464.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/11 - 2.4 Geometry, Part 1.mp4
291.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/12 - 2.5 Geometry, Part 2.mp4
379.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/13 - 2.6 Geometry, Part 3.mp4
116.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/14 - 2.7 When Computers and Math Meet.mp4
198 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/15 - Topics.mp4
14.5 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/16 - 3.1 Setup and the Iris Dataset.mp4
227.1 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/17 - 3.2 Accuracy.mp4
128.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/18 - 3.3 k-Nearest Neighbors.mp4
189.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/19 - 3.4 Train Test Splitting and Fitting k-NN.mp4
363.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/20 - 3.5 Naive Bayes.mp4
349.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/21 - Topics.mp4
14.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/22 - 4.1 Learning Evaluation.mp4
135.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/23 - 4.2 Resource Evaluation - Time.mp4
203.2 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/24 - 4.3 Resource Evaluation - Memory.mp4
229.5 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/25 - 4.4 Scripts.mp4
402.5 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/26 - Topics.mp4
13.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/27 - 5.1 Setup and the Diabetes Dataset.mp4
291.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/28 - 5.2 Measures of Center.mp4
165.1 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/29 - 5.3 k-Nearest Neighbors for Regression.mp4
260.3 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/30 - 5.4 Linear Regression, Part 1.mp4
451.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/31 - 5.5 Linear Regression, Part 2.mp4
161.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/32 - Topics.mp4
11.2 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/33 - 6.1 Optimization, Part 1.mp4
373.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/34 - 6.2 Optimization, Part 2.mp4
210.3 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/35 - 6.3 Learning Performance.mp4
129.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/36 - 6.4 Resource Evaluation.mp4
235.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/37 - Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1 (Video Training) - Summary.mp4
32 MB
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