Certificate In Data Science: Machine Learning

Design & Technology

Certificate In Data Science: Machine Learning

Instructor

The Global Business School

7 Students enrolled

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0 reviews

Data-Science-Machine-Learning-with-Python-1024x668

Description
Curriculum
Reviews

1

Introduction
01 minutes and 5 seconds
2

Notation

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04 minutes 16 seconds
3

Example Zip Code Reader

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03 minutes 06 seconds
4

Evaluation metrics

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06 minutes 48 seconds
5

Confusion matrix

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02 minutes 52seconds
6

Sensitivity, specificity, and prevalence

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05 minutes 38 seconds
7

Balanced accuracy and F1 score

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03 minutes 02seconds
8

Prevalence matters in practice

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1 minutes and 28 seconds
9

ROC and precision-recall curves

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03 minutes and 11 seconds
10

Loss Function

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03 minutes 30 seconds
11

Conditional probabilities

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05 minutes and 15seconds
12

Conditional expectations

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02 minutes 42 seconds
13

Linear Regression for Prediction Case Study 2 or

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04 minutes and 57 seconds
14

Smoothing

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03 minutes and 06seconds
15

Bin Smoothing

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04 minutes and 42 seconds
16

Local Weighted Regression (loess)

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02 minutes and 21 seconds
17

Beware of Default Smoothing Parameters

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1 minutes and 48 seconds
18

Connecting Smoothing to Machine Learning

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01 minutes and 21 seconds
19

k-Nearest Neighbors (kNN)

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04 minutes and 16 seconds
20

Over training and Over smoothing

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02 minutes and 42 seconds
21

Choosing k

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02 minutes and 08 seconds
22

Mathematical description of cross-validation

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02 minutes and 29 seconds
23

k-fold cross-validation

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06 minutes and 34 seconds
24

Caret Package

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05 minutes and 14 seconds
25

Fitting with Loess

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01 minutes and 05 seconds
26

MNIST case study preprocessing

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02 minutes and 24 seconds
27

MNIST case study kNN

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01 minutes and 59seconds

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