Supervised Machine Learning With Python By Spotle.ai
This course by industry and academic leaders gives you complete coverage of supervised machine learning techniques.
Updated on Apr, 2024
Language - English
Machine Learning,Data Science and AI ML,Python,Artificial Intelligence
Lectures -45
Duration -4 hours
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Course Description
Machine learning and Python have become key industry drivers in the global job and opportunity market. This Spotle.ai Masterclass, designed and delivered by the industry experts and Ivy League academic leaders, will help you learn supervised machine learning from scratch. You will learn the subject with lots of applications and coding using Python programming language in real life business scenarios.
In this course you will learn:
- The principle of supervised and unsupervised learning and their difference.
- Linear Regression, Logistic Regression, Decision Tree, Regression Tree, Discriminant Analysis, Naïve Bayes Classifier, K-NN with lots of real life examples using Python programming language.
- How to choose the right set of algorithms to solve your problem statement.
We understand the value of your time. All Spotle.ai courses are compact and to the point. So that you can learn quickly and give more time to applications building. Get ready for the experiential learning.
Goals
What will you learn in this course:
- The fundamentals of supervised and unsupervised learning and their differences.
- Linear Regression and its applications.
- Classification with Logistic Regression, Decision Tree, Discriminant Analysis, Naïve Bayes Classifier, and K-Nearest Neighbor.
- A lots of real life applications using Python programming language.Â
- How to choose the right set of algorithms to solve your problem statement.
Prerequisites
What are the prerequisites for this course?
- Basic knowledge of Statistics and Python programming language will be a plus.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
3 Lectures
-
Introduction
01:21
01:21
-
Recap - Introduction To Machine Learning
06:13
06:13
-
Recap - Supervised Machine Learning
04:57
04:57
Setting up Python Environment
4 Lectures
Recap - NumPy Library
2 Lectures
Recap - Data Manipulation With Pandas Library
5 Lectures
Recap - Data Visualization With Python
3 Lectures
Linear Regression With Python
5 Lectures
Logistic Regression With Python
5 Lectures
Complete Decision Tree With Python
9 Lectures
Regression Tree With Python
2 Lectures
Naïve Bayes Classifier And KNN With Python
5 Lectures
Discriminant Analysis With A Case Study
2 Lectures
Instructor Details
Spotle Learn
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