Course Overview
- Course Title: Real World Machine Learning Project in Python From Scratch
- Instructor: ARUNNACHALAM SHANMUGARAAJAN
- Target Audience:
- Beginners curious about machine learning
- Intermediate learners aiming to enhance their skills
- Prerequisites:
- Basic understanding of Python programming
- Access to a computer with Python installed
Curriculum Highlights
- Key Topics Covered:
- Introduction to Real-World Machine Learning
- Selecting a Project and Defining Goals
- Data Collection and Exploration
- Data Preprocessing and Cleaning
- Feature Engineering
- Choosing and Implementing Machine Learning Algorithms
- Model Training and Evaluation
- Hyperparameter Tuning and Model Optimization
- Building a Predictive System
- Monitoring and Maintaining Models
- Ethical Considerations and Best Practices
- Key Skills Learned:
- Principles and applications of machine learning
- Project selection and goal definition
- Data collection and exploratory data analysis (EDA)
- Data preprocessing and cleaning techniques
- Feature engineering for enhanced model performance
- Implementation of machine learning algorithms using Python
- Model training, evaluation, and optimization
- Building and deploying predictive systems
- Monitoring and maintaining models
- Ethical considerations in machine learning
Course Format
- Duration: 1 hour on-demand video
- Format: Self-paced online course
- Resources:
- Access on mobile and TV
- Certificate of completion


