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Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)

Name: Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)
Availability: InStock
Rating: 4.6 (5878 reviews)

Our engaging®Machine Learning Essentials Boot Camp®is a comprehensive workshop style program designed to provide you with expert level guidance deep diving the latest skills, tools and trends in AI and machine learning, from the ground up. Throughout the program you'll learn how to leverage and apply the latest tech to...

4.6 out of 5 rating
Last updated : 23/07/2026
English

Available as Instructor Led Training, Live Online & In Person at your Offices or Ours.

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Duration:

24.00 hours

19.5 CPD hours

Overview:

Description:

Our engaging Machine Learning Essentials Boot Camp is a comprehensive workshop style program designed to provide you with expert level guidance deep diving the latest skills, tools and trends in AI and machine learning, from the ground up. Throughout the program you'll learn how to leverage and apply the latest tech to help you master and transform your data, build efficient models and simplify complex tasks using this innovative tech to your advantage.
This course is typically run as a three-day program, but can also be structured as a multi-week short course event at the convenience of your team or organization. Each program section drills down on a core skill that is fully wrapped with meaningful business examples, data sets, hands-on labs and uses cases focused completely on real-world application. Once you've mastered the essentials skills, we revisit the core topics and apply the latest tools and tech in AI to show you how to maximize efficiency and productivity, saving you countless hours on every project. It's critical to understand the backbone and structure of your work before jumping into leveraging AI tooling, as you need to understand your project input, goals, and desired outcomes in order to use these technologies correctly to create accurate, trusted results.
Throughout the course, you'll explore key skills and concepts including regression analysis, binary and multiclass classification, model performance, generalization, hyperparameter tuning, and feature engineering, among others. You'll also gain practical experience dealing with imbalanced datasets, implementing dimensionality reduction techniques, and understanding ensemble learning methods. The course is rich with hands-on useful labs and group activities that focus on core skills, problem solving techniques and real-world application using data-driven solutions and best practices. You'll leave the course ready to jump into any machine learning project in a meaningful way, able to design, train, evaluate, and fine-tune powerful machine learning models right out of the gate, using the most efficient tools, tech and best practices available today.

Course Outline:

Introduction and Regression
Understanding the Python ecosystem for data science
Review of Python libraries relevant to data science
Basics of regression analysis
Linear regression in Python
Multiple regression analysis
Hands-on Lab: Regression Analysis with Python
Classification and Cluster Analysis
Understand and implement binary and multiclass classification.
Implement and assess the quality of a cluster analysis.
Logistic regression for binary classification
Performance metrics for binary classification
Hands-On Lab: Binary Classification
Overview of multiclass classification
Understanding and implementing RandomForest
Hands-On Lab: Multiclass Classification with RandomForest
Introduction to cluster analysis
K-Means clustering in Python
Assessing cluster quality
Hands-On Lab: Cluster Analysis
Model Performance, Generalization, and Hyperparameter Tuning
Evaluate model performance using relevant metrics.
Understand and implement techniques for model generalization.
Learn about hyperparameters and methods for tuning them.
Understanding confusion matrix, precision, recall, F1 score
ROC and AUC analysis
Hands-On Lab: Model Performance Assessment
Understanding overfitting and underfitting
Cross-validation for model generalization
Hands-On Lab: Model Generalization Techniques
Introduction to hyperparameters and their importance
Grid search and random search for hyperparameter tuning
Hands-On Lab: Hyperparameter Tuning with Python
Model Interpretation, Dataset Analysis, Data Preparation
Learn techniques for interpreting model coefficients and understanding feature importance.
Hands-On Lab: Machine Learning Model Interpretation
Techniques for data exploration and visualization
Learn methods for data exploration, visualization, univariate, and multivariate analysis.
Hands-On Lab: Dataset Analysis with Python
Dealing with missing values
Outlier detection and handling
Encoding categorical variables
Hands-On Lab: Data Preparation with Python
Feature Engineering, Imbalanced Datasets, Dimensionality Reduction, and Ensemble Learning
Learn techniques for feature engineering and handling imbalanced datasets.
Understand and implement dimensionality reduction techniques.
Hands-On Lab: Feature Engineering and Dimensionality Reduction
Learn about ensemble learning methods and their implementation.
Implementing ensemble learning methods
Hands-On Lab: Ensemble Learning with Python
Capstone Project / Workshop
Students will build their own AI investor using Python. Students will gain an understanding of the stock market approach from a purely data driven perspective, and will use that to build a stock investor. Students will be able to customize the investor (aggressive or defensive).
Hands-On Lab: Project Workshop
Apply learned techniques to a given problem statement.
Understand how to troubleshoot and improve model performance.
OPTIONAL / Additional Time Required / Project Presentations and Course Wrap-Up
Present the final project and receive feedback.
Review the key learning outcomes from the course.

What You'll Learn:

Our experts help you dive deep into essential tech skills, navigate through challenges, and prepare you to use what you've learned with confidence, and the platform provides you with the path and resources for long term success.
Some of the core topics you'll explore include:
-Regression Analysis: Master the technique to understand and predict the relationship between dependent and independent variables.
-Binary and Multiclass Classification: Learn to categorize data into distinct categories or classes.
-Hyperparameter Tuning: Fine-tune machine learning algorithms to optimize their performance.
-Feature Engineering: Acquire the skill to select and transform variables to improve model accuracy.
-Handling Imbalanced Datasets: Develop strategies to work with datasets where target classes are unevenly distributed.
-Dimensionality Reduction: Grasp methods to reduce the number of random variables and ensure models are efficient.
-Ensemble Learning: Understand how to combine multiple models to enhance prediction accuracy.
-Model Evaluation: Become adept at assessing the performance of machine learning algorithms.
-Python Programming for AI: Gain proficiency in utilizing Python for building AI-driven applications.
-Generalization Techniques: Learn to build models that perform well on unseen data.
-Data Preprocessing: Understand techniques for cleaning, transforming, and normalizing raw data for optimal model training.
-Advanced Algorithms: Dive deep into sophisticated machine learning algorithms to tackle complex data tasks.
-Ethics in AI and Machine Learning: Explore and emphasize the ethical considerations, security and privacy issues in Ai and Machine Learning.
-Using ChatGPT and Other Tools: Using relevant AI tools to increase efficiency and productivity
-Building a Complete AI Driven Application: You'll also have a hands-on experience building an AI app in a capstone project.

Available Delivery Options for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)

Live Instructor Led Classroom Online (Live Online)
Traditional Instructor Led Classroom training (TILT/ILT)
Delivery at your offices in United Kingdom
Private dedicated course for your staff

How many CPD hours does Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511) provide?

The 3 day Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511) course gives you up to 19.5 CPD hours/structured learning hours.

Who is the correct audience for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)?

This course is ideally suited for Python developers, data analysts, and aspiring data scientists looking to expand their skills into AI and Machine Learning. It is also highly beneficial for product managers and business leaders aiming to acquire a hands-on understanding of AI's impact on product development and business strategy.

Do you provide training for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)?

Yes, we provide corporate training, dedicated training and closed classes for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511). This can take place anywhere in United Kingdom including London, Manchester, Birmingham, Edinburgh or live online.

What is the duration of Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)?

The Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511) training takes place over 3 day(s), with each day lasting approximately 24.00 hours including breaks.

What other terms do people search for?

Popular related searches include: AI; Machine Learning

Why are Nexus Human the best provider for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)?

Nexus Human are recognised as one of the best training companies. Our trainers have won awards including Small Firms Best Trainer, national training partner of the year for Ireland, and global top 30 instructor awards in 2012, 2019 and 2021.

Is there a discount code for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511)?

Yes, the discount code PENPAL5 is currently available for Machine Learning Boot Camp / SkillJourney / Part 2: Essentials Deep Dive Workshop (TTMl5511) training. Only one discount code can be used per booking.

DURATION 1 Day

No scheduled classes available at this time.

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable.

To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.