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£25
£25
On-Demand course
1 hour 32 minutes
All levels
Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Machine Learning Course Using Python has been specially designed to help learners gain a good command of Machine Learning Course Using Python, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Machine Learning Course Using Python, you will gain both practical and theoretical understanding of Machine Learning Course Using Python that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Get a deep understanding of the Machine Learning Course Using Python just in hours not years
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical and practical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
No formal qualifications required, anyone from any academic background can take this course.
Access to any internet-enabled smart device.
1+ hours of on-demand video lectures and downloadable resources.
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
You will be able to incorporate various practical sales techniques successfully and understand your customers better.
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 | |
Resources | |||
Resources - Machine Learning with Python | 🕐 00:00:00 |
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