Discover the thrilling world of artificial intelligence with the “Machine Learning Course with Python“. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning.
Learning Outcomes
This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.
Module 01: Introduction to Machine Learning Algorithms | |||
Introduction to types of ML algorithm | 00:02:00 | ||
Module 02: Preprocessing | |||
Importing a dataset in python | 00:02:00 | ||
Resolving Missing Values | 00:06:00 | ||
Managing Category Variables | 00:04:00 | ||
Training and Testing Datasets | 00:07:00 | ||
Normalizing Variables | 00:02:00 | ||
Normalizing Variables – Python Code | 00:03:00 | ||
Summary | 00:01:00 | ||
Module 03: Regression | |||
Simple Linear Regression – How it works? | 00:04:00 | ||
Simple Linear Regreesion – Python Implementation | 00:07:00 | ||
Multiple Linear Regression – How it works? | 00:01:00 | ||
Multiple Linear Regression – Python Implementation | 00:09:00 | ||
Decision Trees – How it works? | 00:05:00 | ||
Random Forest – How it works? | 00:03:00 | ||
Decision Trees and Random Forest – Python Implementation | 00:04:00 | ||
Module 04: Classification | |||
kNN – How it works? | 00:02:00 | ||
kNN – Python Implementation | 00:10:00 | ||
Decision Tree Classifier and Random Forest Classifier in Python | 00:10:00 | ||
SVM – How it works? | 00:04:00 | ||
SVM – Python Implementation | 00:06:00 | ||
Assignment | |||
Assignment – Machine Learning Course with Python | 00:00:00 |
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