Machine Learning Course curriculum | Machine Learning - Roadmap

Summary

Siddharthan introduces his hands-on Machine Learning course with Python on YouTube, posting three videos weekly: two on course content and one on a ML project. The course requires only an interest in ML, with modules covering ML basics, Python basics, and various ML projects. Upcoming modules include Python libraries, data collection, mathematical basics, ML models, and algorithms. A deep learning course will follow. The channel is designed for beginners and experienced learners alike.

Takeaways

• 😀 Siddharthan introduces a hands-on machine learning course with Python on his YouTube channel.
• 📅 The channel posts three videos a week: two on the course content on Mondays and Wednesdays, and one detailed machine learning project video on Fridays.
• 📚 The course is aimed at beginners as well as those familiar with basic concepts, with modules covering the basics of programming in Python.
• 🎓 The curriculum includes modules on machine learning basics, Python basics for machine learning, and various machine learning projects.
• 🛠️ Google Colaboratory is highlighted as an environment to run Python codes without needing to install any IDEs.
• 📈 Six machine learning projects have been completed, including face recognition, rock vs. mind prediction, and diabetes prediction, with more to be posted every Friday.
• 📚 The third module to be posted covers Python libraries essential for machine learning, such as NumPy, pandas, matplotlib, and scikit-learn.
• 🔢 The course will also cover mathematical basics important for machine learning, including linear algebra, calculus, statistics, and probability.
• 🤖 Machine learning models and algorithms will be discussed in detail, including classification, regression, clustering, and association models.
• 🏆 The course concludes with an introduction to deep learning, which will be covered in a standalone course after the completion of the machine learning course.
• 🔗 Siddharthan encourages viewers to subscribe, share the channel with friends, and stay tuned for regular video uploads.

Q & A

What is the main topic of Siddharthan's YouTube channel videos?

The main topic is a hands-on machine learning course with Python.

How often does Siddharthan post videos on his YouTube channel?

He posts three videos a week, specifically on Monday, Wednesday, and Friday evenings.

What is the content of the videos posted on Monday and Wednesday?

The videos on Monday and Wednesday cover the course order being discussed.

What type of video is posted on Friday evening?

A detailed video on a machine learning project is posted on Friday evenings.

What is the prerequisite for the machine learning course offered by Siddharthan?

The only prerequisite is having an interest to learn machine learning, and basic programming is covered in the course as well.

How many modules have been completed on Siddharthan's channel before the script was written?

Two modules were completed: Machine Learning Basics and Python Basics for Machine Learning.

What is the focus of the first module in the course curriculum?

The first module focuses on the basic concepts and terms in machine learning.

What is the content of the second module on Siddharthan's channel?

The second module covers Python basics necessary for machine learning, including Google Collaboratory, Python data types, and other programming fundamentals.

How many machine learning projects have been completed and mentioned in the script?

Six machine learning projects have been completed and mentioned.

What are the topics covered in the upcoming third module of the course?

The third module will cover Python libraries tutorials for machine learning, including NumPy, pandas, matplotlib, and scikit-learn.

What mathematical basics will be discussed in the course?

Linear algebra, calculus, statistics, and probability will be discussed as mathematical basics for machine learning.

What types of machine learning models will be covered in the course?

The course will cover classification models, regression models, clustering models, and association models in machine learning.

What is the plan for after completing the machine learning course?

After completing the machine learning course, Siddharthan plans to create a standalone deep learning course.

How long is the estimated time to complete the machine learning course?

The estimated time to complete the course is three months or less.

What is the schedule for the video uploads on Siddharthan's channel?

Videos are uploaded at 5:30 p.m. on Monday, Wednesday, and Friday.