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Courses>Data Science>Machine Learning For Data Science By Spotle
DevelopmentMachine Learning For Data Science By Spotle
Price:Paid
Length:5.5 hours
Content type:video
level:intermediate
Updated:04 March 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Machine Learning For Data Science By Spotle
Machine Learning For Data Science By Spotle
0.0 (1.0)
5.5 hours
1 students
What you will learn
1Artificial Intelligence and machine learning fundamentals
2Types of machine learning
3Supervised and unsupervised machine learning and their differences
4Application of supervised and unsupervised machine learning
5Semi-supervised and reinforcement learning
6Linear regression
7Fitting linear regression model to data
8Model complexity and bias-variance trade-off in linear regression
9Variable selection in linear regression
10Statistical inference in linear regression
11Multicollinearity
12Measures of accuracy in linear regression
13Linear regression in python
14Logistic regression
15Likelihood estimation
16Statistical inference in logistic regression
17Measure of accuracy in logistic regression
18Logistic regression in python
19Decision tree
20Decision tree, impurity gain ratio
21Decision tree, numerical attributes
22Decision tree in python
23Regression tree
24Regression tree in python
25Cluster analysis
26Features of cluster analysis
27k-Means clustering
28k-Means clustering in python
29Hierarchical clustering
30Hierarchical clustering case studies
Target audiences
1Anyone with an interest in a rewarding career in Data Science
Requirements
1You will need to have a computer or a mobile handset with an internet connection
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Machine Learning has become a key industry driver in the global job and opportunity market. In order to stay ahead in careers, machine learning is one of must have skillsets that tech professionals are acquiring as fast as possible. This course is designed to help people learn machine learning and its techniques using Python programming language with many examples and case studies. The journey will be an informative one and as concise as possible to give you more of your time to apply the skills that you will be learning here.

In this course you will learn:

1. Artificial Intelligence and machine learning fundamentals

2. Types of machine learning

3. Supervised and unsupervised machine learning and their differences

4. Application of supervised and unsupervised machine learning

5. Semi-supervised and reinforcement learning

6. Linear regression

7. Fitting linear regression model to data

8. Model complexity and bias-variance trade-off in linear regression

9. Variable selection in linear regression

10. Statistical inference in linear regression

11. Multicollinearity

12. Measures of accuracy in linear regression

13. Logistic regression

14. Likelihood estimation

15. Statistical inference in logistic regression

16. Measure of accuracy in logistic regression

17. Decision tree

18. Decision tree, impurity gain ratio

19. Decision tree, numerical attributes

20. Regression tree

21. Cluster analysis

22. Features of cluster analysis

23. k-Means clustering

24. Hierarchical clustering

25. Hierarchical clustering case studies


About Spotle courses:

Spotle is an AI-powered career platform where you get automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover skill and career choices matched to your career goals.

Spotle brings together a solid pool of machine learning and deep learning, data science, cloud computing, big data experts; The experts who have been building complex applications hands on. Spotle courses are designed by the experts to keep you updated with the in-demand trends in the market. As you move on with the Spotle courses, you learn from the experts who are passionate about new age technologies; who are keen on sharing their knowledge for the advancement of technology.

Spotle courses give you a unique opportunity to learn from and practice with the masters.

Similar courses
Opportunities
Make the most out of your online education
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All rights reserved
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Careertail
Courses>Data Science>Machine Learning For Data Science By Spotle
DevelopmentMachine Learning For Data Science By Spotle
Price:Paid
Length:5.5 hours
Content type:video
level:intermediate
Updated:04 March 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Machine Learning For Data Science By Spotle
Machine Learning For Data Science By Spotle
0.0 (1.0)
5.5 hours
1 students
What you will learn
1Artificial Intelligence and machine learning fundamentals
2Types of machine learning
3Supervised and unsupervised machine learning and their differences
4Application of supervised and unsupervised machine learning
5Semi-supervised and reinforcement learning
6Linear regression
7Fitting linear regression model to data
8Model complexity and bias-variance trade-off in linear regression
9Variable selection in linear regression
10Statistical inference in linear regression
11Multicollinearity
12Measures of accuracy in linear regression
13Linear regression in python
14Logistic regression
15Likelihood estimation
16Statistical inference in logistic regression
17Measure of accuracy in logistic regression
18Logistic regression in python
19Decision tree
20Decision tree, impurity gain ratio
21Decision tree, numerical attributes
22Decision tree in python
23Regression tree
24Regression tree in python
25Cluster analysis
26Features of cluster analysis
27k-Means clustering
28k-Means clustering in python
29Hierarchical clustering
30Hierarchical clustering case studies
Target audiences
1Anyone with an interest in a rewarding career in Data Science
Requirements
1You will need to have a computer or a mobile handset with an internet connection
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Machine Learning has become a key industry driver in the global job and opportunity market. In order to stay ahead in careers, machine learning is one of must have skillsets that tech professionals are acquiring as fast as possible. This course is designed to help people learn machine learning and its techniques using Python programming language with many examples and case studies. The journey will be an informative one and as concise as possible to give you more of your time to apply the skills that you will be learning here.

In this course you will learn:

1. Artificial Intelligence and machine learning fundamentals

2. Types of machine learning

3. Supervised and unsupervised machine learning and their differences

4. Application of supervised and unsupervised machine learning

5. Semi-supervised and reinforcement learning

6. Linear regression

7. Fitting linear regression model to data

8. Model complexity and bias-variance trade-off in linear regression

9. Variable selection in linear regression

10. Statistical inference in linear regression

11. Multicollinearity

12. Measures of accuracy in linear regression

13. Logistic regression

14. Likelihood estimation

15. Statistical inference in logistic regression

16. Measure of accuracy in logistic regression

17. Decision tree

18. Decision tree, impurity gain ratio

19. Decision tree, numerical attributes

20. Regression tree

21. Cluster analysis

22. Features of cluster analysis

23. k-Means clustering

24. Hierarchical clustering

25. Hierarchical clustering case studies


About Spotle courses:

Spotle is an AI-powered career platform where you get automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover skill and career choices matched to your career goals.

Spotle brings together a solid pool of machine learning and deep learning, data science, cloud computing, big data experts; The experts who have been building complex applications hands on. Spotle courses are designed by the experts to keep you updated with the in-demand trends in the market. As you move on with the Spotle courses, you learn from the experts who are passionate about new age technologies; who are keen on sharing their knowledge for the advancement of technology.

Spotle courses give you a unique opportunity to learn from and practice with the masters.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot