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Machine Learning with Python

Step into the future of data analysis with Machine Learning using Python! This course is designed for learners who are comfortable with Python and want to build...

0

... English
... Certificate Course
... 0 Students
... 00h 00m

Course Overview

You will learn the full ML workflow that includes:

  • data preparation,
  • building and evaluating models,and
  • using powerful algorithms like regression, Naive Bayes, Random Forest, XGBoost, and Neural Networks.


With a project-based approach and real datasets, you will be able to apply machine learning to real-world business and research problems.


By the end, you will have built and evaluated your own ML models, and understand the key concepts needed to launch your journey into data science and AI.

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Course curriculum

What you'll learn

  • Prepare real-world data for machine learning models

  • Build, train, and evaluate models using regression, Naive Bayes, Random Forest, XGBoost, and Neural Networks

  • Use scikit-learn, pandas, and TensorFlow/Keras for ML workflows

  • Automate and save ML analysis tasks

  • Complete an end-to-end ML project from raw data to insights

Requirement

  • Comfortable with Python programming (functions, classes, basic data analysis)

  • Laptop/desktop with Python, pandas, scikit-learn, Jupyter Notebook, and TensorFlow/Keras (installation guidance provided)

  • Willingness to work on real datasets and ML projects

Instructor

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Oluyi Segun

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  • ... 2 Students
  • ... 17 Courses
  • ... 0 Review

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₦250000

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  • ...

    Students

    0
  • ...

    language

    English
  • ...

    Duration

    00h 00m
  • Level

    advanced
  • ...

    Expiry period

    Lifetime
  • ...

    Certificate

    Yes
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