55375AC: Fundamentals of Machine Learning

Course Overview

The 55375AC: Fundamentals of Machine Learning course offered by CounselTrain is designed to provide a comprehensive introduction to the core concepts and techniques of machine learning. This course covers essential topics such as supervised and unsupervised learning, model evaluation, and feature selection. Participants will explore various machine learning algorithms, including linear regression, decision trees, and clustering methods, while gaining practical experience through hands-on labs and real-world case studies. The course is ideal for beginners who are new to machine learning, as well as professionals looking to strengthen their foundational understanding of the field. By the end of the course, learners will be equipped with the skills to implement basic machine learning models and understand their applications in various industries.

Multiple Routes of Delivery to
Fit Your Timetable

We understand that flexibility is key to effective learning and development, especially in today’s dynamic work environment. That’s why we offer multiple delivery formats for our IT trainings in UAE. Whether you prefer the interaction of in-person classes, the convenience of live virtual training, or the independence of self-paced online learning, we have a solution tailored to your schedule. Our goal is to make professional growth accessible to everyone, allowing you to upskill without compromising your other commitments.

Online Instructor Led

Learn from the comforts of your home/office with our expert trainers via online platforms.

Classroom Training

Face-to-face physical classroom training with max interactions at our 5* training venues.

Onsite Training

Learn in your own environment from our expert trainers for maximum impact.

Overseas Training

Choose your desired country for learning with our expert trainers.

Schedule Dates

03 March 2025 - 07 March 2025

55375AC: Fundamentals of Machine Learning

09 June 2025 - 13 June 2025

55375AC: Fundamentals of Machine Learning

15 September 2025 - 19 September 2025

55375AC: Fundamentals of Machine Learning

15 December 2025 - 19 December 2025

55375AC: Fundamentals of Machine Learning

Course Content

Understanding Machine Learning
Understanding Machine Learning Models
Understanding the Process for Creating a Machine Learning Model
Reviewing Essential Math Concepts
Using Common Python Libraries and Packages for Machine Learning

Understanding Decision Trees
Understanding Random Forests
Understanding Gradient Boosted Trees
Understanding XGBoost
Understanding Logistic Regression
Understanding the K-Nearest Neighbors Algorithm
What are Other Common Algorithms?

Preparing the Data
Building and Fitting a Model
Testing and Validating a Classification Model

Understanding Multi-class Classification
Understanding the One versus Rest and One versus One Algorithms
Understanding Multi-label Classification

Understanding Statistical Sampling
Understanding Measures of Central Tendency
Calculating Measures of Dispersion
Evaluating the Sampling Strategy
Estimating Confidence Intervals and Sampling Error
Quantifying the Differences between Data Distributions

Graphing Data to Examine Relationships and Identify Skew
What is Correlation and Casuality?
Selecting Model Features
Extracting and Scaling Features
Creating a preprocessing pipeline

Understanding Performance Measures for a Classification Model
Understanding Regularization to Reduce Overfitting
Evaluating a Model

Understanding Imbalanced Classification
Calibrating a Model
Using Data Sampling to Balance a Dataset
Understanding Evaulation Metrics for an Imbalanced Dataset

FAQs

Participants should have basic knowledge of programming and statistics. Familiarity with Python or another programming language commonly used in data science is helpful but not required.

By completing this course, you will gain an understanding of fundamental machine learning concepts, the ability to implement basic machine learning models, and knowledge of various algorithms and techniques used in the field. You will also learn how to evaluate and optimize models for better performance.

Yes, the course includes hands-on labs and practical exercises designed to help participants apply the concepts learned and gain practical experience with machine learning tools and techniques.

CounselTrain provides instructor support, access to course materials, and additional resources such as forums or community groups to assist participants throughout the course.

55375AC: Fundamentals of Machine Learning

Course Overview

Multiple Routes of Delivery to Fit Your Timetable

Online Instructor Led

Classroom Training

Onsite Training

Overseas Training

Schedule Dates

55375AC: Fundamentals of Machine Learning

55375AC: Fundamentals of Machine Learning

55375AC: Fundamentals of Machine Learning

55375AC: Fundamentals of Machine Learning

Course Content

Module 1: Introduction to Machine Learning Models

Module 2: Understanding Classification Algorithms

Module 3: Creating a Classification Model

Module 4: Understanding Binary and Non-Binary Classification

Module 5: Reviewing Statistics Concepts

Module 6: Exploring Data and Selecting Features and Algorithms

Module 7: Measuring the Performance of a Classification Model

Module 8: Understanding Imbalanced Classification

FAQs

What are the prerequisites for this course?

What skills will I gain from this course?

Will there be any hands-on labs or practical exercises?

What support is available during the course?

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Multiple Routes of Delivery to
Fit Your Timetable