About Course

Engineering students often learn many programming languages and theoretical concepts during their academic journey, but many struggle to understand how mathematics actually powers modern technologies like Artificial Intelligence and Machine Learning. This course is designed specifically to bridge that gap. It helps engineering students build a strong mathematical foundation required for AI, ML, and advanced computing fields. Through clear explanations, practical examples, and step-by-step problem solving, students will learn important concepts such as linear algebra, probability, optimization, and mathematical thinking used in real-world AI systems. Instead of focusing only on formulas, the course explains the intuition behind each concept so students can apply them confidently in projects, research, and technical interviews. By the end of the program, engineering students will not only strengthen their mathematical understanding but also gain the confidence to work with machine learning algorithms, data science models, and modern AI applications.

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What Will You Learn?

  • Learn New Things
  • Self Development
  • Skills Update
  • Prepared Yourself

Course Content

Machine Learning
Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome.

  • Mean Median Mode
    01:25:00
  • What is Standard Deviation?
    04:00:00

Importing the Libraries

Importing the Dataset