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Details for:
Lynda - Supervised Learning Essential Training
lynda supervised learning essential training
Type:
Other
Files:
96
Size:
268.3 MB
Uploaded On:
Jan. 24, 2021, 5:08 a.m.
Added By:
tuts756
Seeders:
1
Leechers:
2
Info Hash:
2FCF15D537DFC06B2DB9F321BB0FDA7624E3CF79
Get This Torrent
Description Data scientists and ML/AI students may need some practical experience with supervised learning algorithms. In this course, instructor Ayodele Odubela teaches you to apply models you’ve created to new data and to assess model performance. First, Ayodele outlines what supervised learning is and how to make predictions using labeled training data. She gives you an overview of the logistic regression algorithm, how to build a linear model in Python, and how to calculate model metrics. Next, Ayodele helps you create your first decision trees as well as k-nearest neighbors models using GridSearch. Ayodele covers how you can create artificial neural networks that are foundational for most deep learning work. She concludes with an ethical AI overview and asks you to consider the impact of your models. Released 1/21/2021
Get This Torrent
[TutsNode.com] - Supervised Learning Essential Training/01 Supervised machine learning and the technology boom.mp4
22.8 MB
TutsNode.com.txt
63 bytes
[TutsNode.com] - Supervised Learning Essential Training/01 Supervised machine learning and the technology boom.en.srt
2.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt
585 bytes
[TutsNode.com] - Supervised Learning Essential Training/02 Using the exercise files.en.srt
1.9 KB
[TutsNode.com] - Supervised Learning Essential Training/09 Checking your dataset for assumptions.en.srt
12.8 KB
[TutsNode.com] - Supervised Learning Essential Training/03 What you should know.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/22 Building your own KNN.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/08 Steps to prepare data for modeling.en.srt
9.6 KB
[TutsNode.com] - Supervised Learning Essential Training/17 Analyzing decision tree performance.en.srt
8.6 KB
[TutsNode.com] - Supervised Learning Essential Training/05 Python supervised learning packages.en.srt
1.8 KB
[TutsNode.com] - Supervised Learning Essential Training/11 Creating a logistic regression model.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/14 Splitting data and limiting decision tree depth.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/04 What is supervised learning.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/19 Discovering your k-nearest neighbors.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/25 Biological vs. artificial neural networks.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/07 Defining logistic and linear regression.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/10 Creating a linear regression model.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/26 Preprocessing data for modeling.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/23 Deciphering KNN model metrics.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/30 Ethical overview.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/24 Searching for the best model.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/16 Creating your first decision trees.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/28 Assembling your neural networks.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/15 How to build a decision tree.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/12 Evaluating regression model predictions.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/20 What's the big deal about k.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/27 How neural networks find patterns in data.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/13 Identify common decision trees.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/06 Predicting with supervised learning.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/21 How to assemble a KNN model.en.srt
3.6 KB
[TutsNode.com] - Supervised Learning Essential Training/18 Exploring how ensemble methods create strong learners.en.srt
3.5 KB
[TutsNode.com] - Supervised Learning Essential Training/29 Comparing networks and selecting final models.en.srt
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[TutsNode.com] - Supervised Learning Essential Training/31 How can I keep developing my skills in supervised learning.en.srt
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.pad/0
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[TutsNode.com] - Supervised Learning Essential Training/22 Building your own KNN.mp4
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[TutsNode.com] - Supervised Learning Essential Training/09 Checking your dataset for assumptions.mp4
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[TutsNode.com] - Supervised Learning Essential Training/17 Analyzing decision tree performance.mp4
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[TutsNode.com] - Supervised Learning Essential Training/08 Steps to prepare data for modeling.mp4
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[TutsNode.com] - Supervised Learning Essential Training/31 How can I keep developing my skills in supervised learning.mp4
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[TutsNode.com] - Supervised Learning Essential Training/23 Deciphering KNN model metrics.mp4
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[TutsNode.com] - Supervised Learning Essential Training/14 Splitting data and limiting decision tree depth.mp4
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[TutsNode.com] - Supervised Learning Essential Training/11 Creating a logistic regression model.mp4
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[TutsNode.com] - Supervised Learning Essential Training/24 Searching for the best model.mp4
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[TutsNode.com] - Supervised Learning Essential Training/28 Assembling your neural networks.mp4
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[TutsNode.com] - Supervised Learning Essential Training/25 Biological vs. artificial neural networks.mp4
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[TutsNode.com] - Supervised Learning Essential Training/04 What is supervised learning.mp4
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.pad/12
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[TutsNode.com] - Supervised Learning Essential Training/30 Ethical overview.mp4
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[TutsNode.com] - Supervised Learning Essential Training/07 Defining logistic and linear regression.mp4
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[TutsNode.com] - Supervised Learning Essential Training/19 Discovering your k-nearest neighbors.mp4
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[TutsNode.com] - Supervised Learning Essential Training/16 Creating your first decision trees.mp4
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[TutsNode.com] - Supervised Learning Essential Training/10 Creating a linear regression model.mp4
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[TutsNode.com] - Supervised Learning Essential Training/12 Evaluating regression model predictions.mp4
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[TutsNode.com] - Supervised Learning Essential Training/20 What's the big deal about k.mp4
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[TutsNode.com] - Supervised Learning Essential Training/15 How to build a decision tree.mp4
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[TutsNode.com] - Supervised Learning Essential Training/06 Predicting with supervised learning.mp4
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[TutsNode.com] - Supervised Learning Essential Training/26 Preprocessing data for modeling.mp4
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[TutsNode.com] - Supervised Learning Essential Training/27 How neural networks find patterns in data.mp4
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[TutsNode.com] - Supervised Learning Essential Training/21 How to assemble a KNN model.mp4
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[TutsNode.com] - Supervised Learning Essential Training/18 Exploring how ensemble methods create strong learners.mp4
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.pad/25
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[TutsNode.com] - Supervised Learning Essential Training/13 Identify common decision trees.mp4
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.pad/26
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[TutsNode.com] - Supervised Learning Essential Training/29 Comparing networks and selecting final models.mp4
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[TutsNode.com] - Supervised Learning Essential Training/Ex_Files_Supervised_Learning.zip
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[TutsNode.com] - Supervised Learning Essential Training/05 Python supervised learning packages.mp4
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.pad/29
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[TutsNode.com] - Supervised Learning Essential Training/02 Using the exercise files.mp4
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.pad/30
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[TutsNode.com] - Supervised Learning Essential Training/03 What you should know.mp4
1.1 MB