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Programming Foundations of Classification and Regression, Part 1
Type:
Other > Other
Files:
75
Size:
7.38 GiB (7919103294 Bytes)
Uploaded:
2022-01-19 06:16:12 GMT
By:
tuts756 Trusted
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3
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1
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0  

Info Hash:
E2FCF9B1067A33F8903BC443F1B4420E020A12A1




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Description

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)

Released 2/2020

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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/10 - 2.3 Linear Combinations.mp4464.41 MiB
TutsNode.com.txt63 B
[TGx]Downloaded from torrentgalaxy.to .txt585 B
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/30 - 5.4 Linear Regression, Part 1.mp4451.84 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/25 - 4.4 Scripts.mp4402.48 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/12 - 2.5 Geometry, Part 2.mp4379.76 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/33 - 6.1 Optimization, Part 1.mp4373.61 MiB
.pad/4397.62 KiB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/19 - 3.4 Train Test Splitting and Fitting k-NN.mp4363.87 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/20 - 3.5 Naive Bayes.mp4349.4 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/11 - 2.4 Geometry, Part 1.mp4291.94 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/27 - 5.1 Setup and the Diabetes Dataset.mp4291.86 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/04 - 1.2 Three Things You Can do with NumPy and matplotlib.mp4283.13 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/05 - 1.3 Three Things You Can Do with Pandas.mp4263.92 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/29 - 5.3 k-Nearest Neighbors for Regression.mp4260.33 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/06 - 1.4 Three Things You Can Do with scikit-learn and Friends.mp4242.64 MiB
.pad/12368.98 KiB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/36 - 6.4 Resource Evaluation.mp4235.84 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/24 - 4.3 Resource Evaluation - Memory.mp4229.46 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/16 - 3.1 Setup and the Iris Dataset.mp4227.14 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/34 - 6.2 Optimization, Part 2.mp4210.28 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/23 - 4.2 Resource Evaluation - Time.mp4203.22 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/14 - 2.7 When Computers and Math Meet.mp4198.01 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/09 - 2.2 Distributions.mp4197.95 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/18 - 3.3 k-Nearest Neighbors.mp4189.39 MiB
.pad/20626.68 KiB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/03 - 1.1 Environment Installation.mp4184.76 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/28 - 5.2 Measures of Center.mp4165.12 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/31 - 5.5 Linear Regression, Part 2.mp4161.38 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/08 - 2.1 Probability.mp4144.01 MiB
.pad/241009.25 KiB
[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.mp4141.57 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/22 - 4.1 Learning Evaluation.mp4135.75 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/35 - 6.3 Learning Performance.mp4129.36 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/17 - 3.2 Accuracy.mp4128.93 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/13 - 2.6 Geometry, Part 3.mp4116.65 MiB
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[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.mp431.97 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/07 - Topics.mp417.35 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/02 - Topics.mp414.87 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/21 - Topics.mp414.59 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/15 - Topics.mp414.51 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/26 - Topics.mp413.41 MiB
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/32 - Topics.mp411.25 MiB