Fundamentals of Machine Learning With Python By Spotle.ai
This course is designed for the people who want to learn and build rewarding careers in the field of Machine Learning and Data Science.
Updated on Apr, 2024
Language - English
Machine Learning,Data Science and AI ML,Python,Development
Lectures -33
Duration -3.5 hours
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Course 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 by the leading academicians and industry experts to help people learn machine learning and its techniques using Python programming language with many examples and case studies.
Goals
What will you learn in this course:
- Machine learning techniques.
- Supervised machine learning, Unsupervised machine learning, Semi-supervised machine learning, Reinforcement learning.
- Linear regression with Python.
- Logistic regression with Python.
- Solving classification problems by discriminant analysis with a case study.
- Decision tree with Python.
- Solving unsupervised learning problems with cluster analysis.
- K-means clustering with Python.
- Hierarchical clustering.
- Bonus - Application of AI in cyber security and FinTech.
Prerequisites
What are the prerequisites for this course?
- You will need to have a computer or a mobile handset with an internet connection.
- Basic knowledge of statistics and Python programming language will be an advantage.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction To Machine Learning
6 Lectures
-
Course Introduction
01:21
01:21
-
Supervised Machine Learning
04:57
04:57
-
Unsupervised Machine Learning
05:22
05:22
-
Difference Between Supervised And Unsupervised Machine Learning
02:38
02:38
-
Semi-supervised Machine Learning
03:40
03:40
-
Reinforcement Learning
06:54
06:54
Regression Analysis With Python
5 Lectures
Logistic Regression With Python
5 Lectures
Classification And Discriminant Analysis With A Case Study
2 Lectures
Decision Tree With Python
7 Lectures
Unsupervised Machine Learning
1 Lectures
K-means Clustering With Python
2 Lectures
Hierarchical Clustering With Case Studies
3 Lectures
Applications Of Artificial Intelligence
2 Lectures
Instructor Details
Spotle Learn
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