Machine Learning

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About Course

Learn how to use Python for data analysis, visualization, and machine learning in this practical, beginner-friendly course. You will explore essential Python concepts, work with real-world datasets, and learn how to extract meaningful insights from data.

The course covers popular tools and libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, along with fundamental machine learning concepts, data preprocessing, model training, and evaluation.

By the end of the course, you will be able to analyze data, create visualizations, build basic machine learning models, and apply Python to real-world data science problems.

What Will You Learn?

  • Learn Python fundamentals for data science.
  • Work with data using NumPy and Pandas.
  • Create charts and visualizations with Matplotlib.
  • Clean, analyze, and prepare real-world datasets.
  • Understand machine learning fundamentals and model training.
  • Build and evaluate basic machine learning models using Scikit-learn.

Course Content

Python & Data Science Basics
Learn Python fundamentals, NumPy, Pandas, and basic data manipulation

  • Lesson 2: Data Analysis & Visualization
    01:12:33
  • Lesson 3: Machine Learning Fundamentals
    06:33:00
  • Python for Data Science & Machine Learning
  • Python & Data Science Basics
    00:00

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