Development

Learn Machine Learning Course with Python A to Z

Course Overview

  • Course Title: Learn Machine Learning Course with Python A to Z
  • Instructor: Maria EduCare
  • Target Audience: Aspiring data scientists, software engineers, business analysts
  • Prerequisites: No Programming Experience Needed

Curriculum Highlights

  • Key Topics Covered:
    • Understanding Machine Learning Language
    • Data Distribution
    • Bootstrap Aggregation
    • Cross Validation
    • Decision Tree
    • Hierarchical Clustering
    • Logistic Regression
    • Mean, Median, and Mode
    • Normal Data Distribution
    • Introduction to Machine Learning
    • Python Basics
    • Data Preprocessing
    • Supervised Learning
    • Model Evaluation and Validation
    • Deep Learning
    • Real-World Applications
  • Key Skills Learned:
    • Machine Learning Concepts
    • Python Programming for Machine Learning
    • Data Preprocessing Techniques
    • Supervised Learning Algorithms
    • Model Evaluation Techniques
    • Deep Learning Fundamentals
    • Real-World Machine Learning Applications

Course Format

  • Duration: 2 hours on-demand video
  • Format: Self-paced online course
  • Resources:
    • Access on mobile and TV
    • Certificate of completion
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