Undergraduate Certificate in Introduction to Machine Learning

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Overview

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Learning outcomes

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Course content

1

Fundamentals of Machine Learning

2

Data Preprocessing and Exploration

3

Supervised Learning Algorithms

4

Unsupervised Learning Techniques

5

Model Evaluation and Selection

6

Introduction to Machine Learning

7

Data Preprocessing and Exploration

8

Supervised Learning Techniques

9

Unsupervised Learning Methods

10

Model Evaluation and Validation

11

Introduction to Neural Networks

12

Feature Engineering and Selection

13

Natural Language Processing Basics

14

Time Series Analysis

15

Ethics in Machine Learning

16

Introduction to Machine Learning

17

Supervised Learning

18

Unsupervised Learning

19

Regression Analysis

20

Classification Algorithms

21

Clustering Methods

22

Neural Networks

23

Decision Trees

24

Dimensionality Reduction

25

Evaluation Metrics

26

Introduction to Machine Learning

27

Foundations of Data Science

28

Statistical Methods in Machine Learning

29

Supervised Learning Techniques

30

Unsupervised Learning Algorithms

31

Deep Learning Fundamentals

32

Natural Language Processing

33

Reinforcement Learning Concepts

34

Machine Learning in Practice

35

Ethical Considerations in Machine Learning

Duration

The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months

Course fee

The fee for the programme is as follows:
Fast track - 1 month: GBP £140
Standard mode - 2 months: GBP £90

Career Path

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Key facts

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Why this course

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Frequently asked questions

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The Undergraduate Certificate in Introduction to Machine Learning equips students with foundational skills in algorithms, data analysis, and predictive modeling techniques.

Showcase your achievement with a professional certificate upon successful course completion.