Real World Machine Learning Project In Python From Scratch

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