Machine Learning

Categories: Data Science
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Course Prerequisite(s)

About Course

This program is designed for aspiring machine learning/data engineers and data analytics professionals, offering a unique blend of practical skills and theoretical understanding crucial for the modern data industry. using Python, students will learn to understand and implement neural networks and Machine learning architectures, master various machine learning models and optimization algorithms like Gradient Descent, and gain proficiency in advanced data preprocessing techniques through hands-on applications, including working with the MNIST dataset. This certificate builds a robust foundation, preparing students to tackle complex data challenges effectively.

What Will You Learn?

  • Understand and implement neural networks and deep learning architectures.
  • Master various machine learning models.
  • Utilize optimization algorithms like Gradient Descent and Adam.
  • Gain proficiency in advanced data preprocessing techniques.
  • Apply hands-on skills through practical applications, including working with the MNIST dataset.

Course Content

Regression Analysis
The Linear Regression Model Correlation vs Regression Geometrical Representation of the Linear Regression Model Python Packages Installation First Regression in Python Using Seaborn for Graphs How to Interpret the Regression Table Decomposition of Variability

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