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Machine Learning Masterclass (Supervised)

8-Week Short Course
4.9

Learn supervised machine learning with Python & Scikit-Learn.

🔴 Next Live Cohort Starts 1st Oct 2025 — Enrollment in Progress
87 %

What You'll Learn

ML Fundamentals

Explore ML concepts, history, and industry applications.

The ML Workflow

Data prep, training, validation, testing, and cross-validation.

Supervised ML Algorithms

Linear and logistic regression, decision trees, SVM and more.

Model Evaluation

Accuracy, precision, recall, F1-score, confusion matrices.

Course Duration

8 Weeks

Learning Journey

Morning Sessions
🌙 Evening Sessions
📅 Weekend Options

Learning Experience

Grow with expert guidance, collaborative learning, and valuable industry connections.

Industry Expert Instructors
Mentor Feedback
Peer Collaboration
Global Networking

Achievement

Showcase your success with industry-relevant proof of learning for career growth.

Certificate of Completion
Employer-Ready Portfolio
Lifetime LMS Access
All Recorded Lessons
Limited Time

Tuition & Savings

$298
$149
50% Savings
If You Enroll by September 30
Flexible payment plans
Enroll Now & Save 50%

Course Overview

The 8-week Machine Learning Masterclass focuses on Supervised Learning using Python and Scikit-Learn. Learn to apply the ML workflow: from data preparation and feature engineering to training, evaluating, and optimizing models. Gain hands-on experience building regression and classification models on real data.

🔴 Next Live Cohort Start Date: October 1, 2025

Enrollment Closes: September 30, 2025

Enrollment Options

  • Online – Live Classes + Recorded Lessons (Weekday or Weekends)
  • Recorded Lessons Only (Self-Paced)
  • On-Campus / In-Person – Ghana Only
  • Corporate / Workplace Training — At Company Site or Virtual for Teams
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Get personalized guidance from our Success Advisors

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15min
Quick Guidance Session
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Request the full program curriculum and structure

📚 Detailed Program Info
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Hands-On Project

During this masterclass, you’ll apply supervised machine learning skills with real-world projects that prepare you for real jobs:

  • Build a House Price Prediction Model (Regression)
  • Develop a Customer Churn Prediction Model (Classification)
  • Create a Credit Scoring System with decision trees/random forests
  • Train and optimize a Marketing Campaign Response Model
  • Implement a Pipeline for Data Preprocessing & Model Training
  • Evaluate models with metrics dashboards

Career Relevance

The Machine Learning skills you gain will prepare you for entry-level to intermediate roles in AI and data science:

  • Machine Learning Engineer (Junior Level)
  • Data Scientist (Beginner Level)
  • Data Analyst with ML Focus
  • Business Intelligence Specialist
  • AI Research Assistant
  • Applied ML Developer

Skills you'll gain

Machine Learning Fundamentals Types of Machine Learning ML Workflow: Training & Testing Cross-Validation & Pipelines Data Preparation & Preprocessing Feature Engineering Feature Selection & PCA (Intro) Scikit-Learn Linear Regression Logistic Regression Decision Trees & Random Forests Support Vector Machines Model Training & Evaluation Evaluation Metrics (Accuracy, Precision, Recall, F1, ROC-AUC) Building End-to-End ML Projects
machine-learning-masterclass

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Join 3,000+ students who have started their tech careers with InfoSorse.