Learn Machine Learning from Scratch

Overview Start your exciting journey into machine learning with our beginner-friendly course, Learn Machine Learning from Scratch. This course simplifies …

Machine Learning Course

Learn Machine Learning from Scratch

Original price was: $417.25.Current price is: $35.30.

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1 Year Access

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495 Students

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1 hour, 32 minutes

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Learn Machine Learning from Scratch Overview

Start your exciting journey into machine learning with our beginner-friendly course, Learn Machine Learning from Scratch. This course simplifies complex machine learning ideas and gives you the tools to use this powerful technology in real-life situations. You’ll learn the essentials through a mix of easy-to-understand lessons and practical exercises.

Course Preview

Learning Outcomes

  • Get to grips with the basic ideas and different kinds of machine learning methods.
  • Learn how to get data ready for use in machine learning.
  • Get skilled at using regression models to make predictions.
  • Learn how to create models that can classify information.
  • Understand how to check if your model is working well.
  • Become comfortable using Python and important tools like Scikit-learn for machine learning tasks.
  • Tackle real-world problems using what you’ve learned.
  • Think critically about which methods work best for different challenges.
  • Consider the impact of using machine learning in your work.
  • Get ready for more advanced studies in machine learning and AI.

Who Is This Course For

This course is perfect for anyone new to machine learning. Whether you’re a student, looking to switch careers, or just curious, you’ll find this course helpful and engaging. It’s great for people who like to solve puzzles, work with numbers, and want to make smart decisions using data.

Eligibility Requirements

This course is best for those with some basic knowledge of maths and a keen interest in technology. No need to know programming already, but if you do, that’s a bonus. We start from the very basics, making this a great fit for anyone eager to learn and use machine learning.

Entry Requirements

  • Age Requirement: Applicants must be 16 or older, making the course accessible to both young learners and adults.
  • Academic Background: No prior qualifications required, open to all backgrounds.
  • Language Proficiency: A good understanding of English is essential, as all lessons are in English.
  • Numeracy Skills: Basic writing and numeracy skills are needed to follow the course content.

Why Choose Us

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry-leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • Efficient exam systems for the assessment and instant result;
  • The UK & internationally recognised accredited
  • Access to course content on mobile, tablet or desktop from anywhere, anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path

Finishing this course will set you up for a career in machine learning. You’ll be ready for jobs in data analysis, software development, or more focused roles like a machine learning engineer. As you grow, you might dive deeper into specific areas like deep learning, boosting your career in tech-focused industries.

Course Curriculum

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
Order Certificate
Order Certificate 00:00:00

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