Machine Learning For Data Science By Spotle

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What you'll learn

Artificial Intelligence and machine learning fundamentals
Types of machine learning
Supervised and unsupervised machine learning and their differences
Application of supervised and unsupervised machine learning
Semi-supervised and reinforcement learning
Linear regression
Fitting linear regression model to data
Model complexity and bias-variance trade-off in linear regression
Variable selection in linear regression
Statistical …

Rating 0 out of 5 (0 ratings in Udemy)

What you'll learn

Artificial Intelligence and machine learning fundamentals
Types of machine learning
Supervised and unsupervised machine learning and their differences
Application of supervised and unsupervised machine learning
Semi-supervised and reinforcement learning
Linear regression
Fitting linear regression model to data
Model complexity and bias-variance trade-off in linear regression
Variable selection in linear regression
Statistical inference in linear regression
Multicollinearity
Measures of accuracy in linear regression
Linear regression in python
Logistic regression
Likelihood estimation
Statistical inference in logistic regression
Measure of accuracy in logistic regression
Logistic regression in python
Decision tree
Decision tree, impurity gain ratio
Decision tree, numerical attributes
Decision tree in python
Regression tree
Regression tree in python
Cluster analysis
Features of cluster analysis
k-Means clustering
k-Means clustering in python
Hierarchical clustering
Hierarchical clustering case studies

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.

Duration 5 Hours 58 Minutes

Paid

Self paced

Intermediate Level

English (US)

Rating 0 out of 5 (0 ratings in Udemy)

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