Hands-On Python Machine Learning with Real World Projects

Course Overview

• Course Title: Hands-On Python Machine Learning with Real World Projects
• Instructor: Sayman Creative Institute
• Target Audience: Beginners, those interested in machine learning and Python programming
• Prerequisites: No experience required

Curriculum Highlights

• Key Topics Covered:
  • Applications of machine learning
  • Data manipulation and analysis
  • Building a predictive model to forecast sales
  • Essential Python libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn)
• Key Skills Learned:
  • Data preparation and cleaning
  • Machine learning algorithms and their applications
  • Building and training predictive models
  • Evaluating model performance

Course Format

• Duration: 4 hours on-demand video
• Format: Self-paced online course
• Resources:
  • On-demand video
  • Access on mobile and TV
  • Certificate of completion

Additional Information

• Course Details: Hands-On Python Machine Learning with Real World Projects
• Course Description: This course covers machine learning with Python, including data analysis, predictive modeling, and model evaluation.