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Machine Learning with Python

  • Machine learning powers many of the intelligent systems we use every day, from recommendations to predictive analytics.
  • This course focuses on building practical machine learning models using Python.
  • Learners will understand how data is used to train machines to make predictions and decisions.
  • The course covers key techniques such as regression, classification, and clustering.
  • Hands-on projects and real datasets are used to reinforce learning.
  • By the end of the course, learners will confidently apply Python-based machine learning to real-world problems.

Don't think too much, you just need the following:

  • Basic understanding of programming concepts

  • Familiarity with Python is an advantage but not mandatory

  • Basic knowledge of mathematics and statistics is helpful

  • Access to a laptop or desktop computer

  • Strong interest in data and problem-solving

The following would be covered in this course.

  • Introduction to Machine Learning

  • Python for Machine Learning (NumPy, Pandas)

  • Data Collection, Cleaning, and Preprocessing

  • Exploratory Data Analysis

  • Supervised Learning (Regression & Classification)

  • Unsupervised Learning (Clustering & Dimensionality Reduction)

  • Model Evaluation and Performance Metrics

  • Feature Engineering

  • Introduction to Scikit-learn

  • Overfitting, Underfitting, and Model Tuning

  • Basic Introduction to Neural Networks

  • Machine Learning Mini Projects

After completing this course, you can explore or prepare for roles such as

  • Junior Machine Learning Engineer

  • Data Analyst

  • Machine Learning Assistant

  • AI or Data Science Intern

  • Business Intelligence Analyst

  • Further specialization in Machine Learning, AI, or Data Science

Course Includes:

  • Cost: ₦139,000
  • Category: AI And Machine Learning
  • Duration: 20 weeks
  • book icon Lessons: 20 lessons
  • Class: Weekdays
  • Enrolled:
  • Teaching Method: In Person
  • Seat:
  • Type: Diploma Certificate
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