Habanero Data Solutions

Machine Learning

The study of computer algorithms
Approved by Habanero Data
next available COURSE:
Duration :
4 Day/s
4 Day/s
₦ 300,000
$ 700

Course Information

Everything you need to know

About the Course:
This four-day course provides an introduction to machine learning with a wider scope. Learners will have a deeper understanding of learning theories, reinforcement, and more. Get professional insights and learn from the experience of top machine learning experts in the region. Apply your new learnings with simple and practical projects within the whole duration of the course.
What is Machine Learning?
Machine learning is the process of providing systems with the learning ability without further human programming. The AI systems automatically learn, make decisions, and acquire skills through data and patterns. This branch of artificial intelligence focuses on building applications that predict more accurate outcomes, powering systems from mobile application recommendations to self-driving cars.
Audience: Software Engineers, Data Scientists, Data Analysts, and Statisticians

Recommended Prerequisites: Familiarity with Linear Algebra, Basic Probability, Basic Python Programming, and Statistics

Course Schedule: 4 Days, 32 Academic Hours

Course Syllabus:

All delegates will be taken through the following topics over 4 days:

Day 1

What is Machine Learning

  • Model Representation
  • Cost Function
  • Gradient Descent
  • Fundamentals of Statistics
  • Exploratory Data Analysis
  • Linear Algebra Review
  • Linear Regression with Multiple Variables

Day 2

Data Preparation

  • Choosing ML Algorithms
  • Octave/Matlab Tutorial
  • Basic Operations
  • Moving Data Around
  • Computing on Data
  • Plotting Data
  • Control Statements: for, while, if statement
  • Vectorization

Day 3

Building ML Models

  • Logistic Regression
  • Classification
  • Hypothesis Representation
  • Decision Boundary
  • Cost Function
  • Simplified Cost Function and Gradient Descent
  • Advanced Optimization
  • Multiclass Classification
  • Regularized Linear Regression
  • Regularized Logistic Regression

Day 4

Evaluating ML Algorithms

  • Model Selection
  • Deploying ML Models
  • Neural Networks: Representation
  • Non-linear Hypotheses
  • Neurons and the Brain
  • Model Representation
  • Examples and Intuitions
  • Multiclass Classification


  • Summary

Our international certified trainers have highly experienced Machine Learning practitioners who have real-world expertise.

I – Laptops will be provided for all candidates with pre-installed Microsoft PowerBI.

II – Our training venue is based in Lekki, Lagos (Specific venue will be emailed on confirmation of a place on the course).

For more information on our training, please enquire using the form above or call +2348103382376

Machine Learning

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    Machine Learning

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    September 19, 2022

    Abuja, Accra, Kigali, Lagos

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    Call our team today on +234 8103382376 or email [email protected]

    We’re here to discuss your needs with a free consultation and to offer guidance on the best route forward for you or your team. We’re proud of our expert data courses and consultancy services, and we’re always happy to talk about them.