### What Is This Course About? 

This Intro to Machine Learning course offers a solid foundation in the core concepts and practical applications of machine learning. It's tailored for individuals with little to no technical background who are eager to explore the AI landscape. 

### Who Is This Course For? 

- Non-tech Entrepreneurs: Looking to launch AI startups. 

- Career Switchers: Transitioning from non-technical fields into technology. 

- Students: Curious about the possibilities within the AI space. 

### Course Agenda: 

- Understanding Key Differences: 

  - Explore the distinctions between Machine Learning (ML), Deep Learning (DL), and Data Science. 

- Introduction to Key Concepts: 

  - Supervised vs Unsupervised Learning 

  - Learning and Logic Regression 

  - K-means Clustering 

  - Decision Trees 

  - Boosting and Bagging Algorithms 

  - Time Series Modeling 

  - Kernel SVM 

  - Naive Bayes 

  - Random Forest Classifiers 

- Existing Applications of Machine Learning: 

  - Discover real-world applications and case studies. 

- Interactive Learning: 

  - Participate in Live Q&A sessions and case discussions to deepen your understanding. 

🚀 Take the first step toward your AI journey! Join us for ALGORYTHM™️ and unlock the potential of machine learning today! 🌍✨