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.