Machine Learning In-Depth (With Python)

1. What will students learn in your course?

Machine Learning In-depth, Covers Introduction, Supervised Learning including regression and classification, Unsupervised Learning including dimensionality reduction and clustering.

Very few courses covers basics and algorithm in detail, and here you will find clear and simple explanation and practical implementation

Completing this course will also make you ready for most interview questions for Data Science /Machine Learning Role related to Supervised Learning including regression and classification, Unsupervised Learning including dimensionality reduction and clustering.

This is Pre-requisite for Deep Learning, Reinforcement Learning, NLP, and other AI courses

2. What are the requirements or prerequisites for taking your course?

Good to do my “Data Analysis In-Depth (With Python)” course on Udemy

3. Who is this course for?

People looking to advance their career in Data Science and Machine Learning roles

Already working in Data Science/ ML Ops Engineering roles and want to clear the concepts

Want to make base strong before moving to Deep Learning, Reinforcement Learning, NLP, LLM, Generative AI and other AI courses

Currently working as Full Stack developer and want to transition to Machine Learning Engineer roles

4. Is this course in depth and will make industry ready?

Absolutely yes, it will make you ready to creack Machine Learning Interviews and solve ML problems. This will also lay strong foundation for Deep Learning, Reinforcement Learning, etc

5. I am new to IT/Data Science, Will i understand?

Absolutely yes, it is taught in most simplest way for every one to understand

Who this course is for:

• People looking to advance their career in Data Science and Data Analytics
• Already working in Data Science/ Data Analyst Roles and want to clear the concepts
• Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses
• Currently working as Data Analyst and want to progress to Data Science Roles