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