Interested in the field of Machine Learning? This course is for you. Not only will you learn what all the hype is all about but also do a deep dive into the "behind the curtain" workings of the AI ML world. Currently, every single business/tech domain is being influenced by data science in one way or another, so why not take the first step of upgrading yourself for the future.
This course is made by an experienced Data Scientist and is made as simple as possible to allow anybody new to the field to easily grasp the basics of how statistics and coding works in machine learning.
We will be working on live examples with real-life datasets and finally will finish the course with 2 mini projects on AI/ML. We will be covering the following topics:
1. Regression 2. Classification 3. Clustering 4. Preprocessing 5. Model optimizations 6. Statistics basic and in-depth formulas and much more
As a bonus, this course includes all the shared slides and the codes done during teaching for easy access to the content. These codes can be downloaded easily and used for your own problem-solving.
1. What are the requirements?
All it needs is basic high school level mathematics knowledge and some basic coding knowledge, preferably python
2. What am I going to get from this course?
The goal is to get an in-depth understanding of the fundamentals of AI and ML
3. Who this course is for?
The course is for anybody who - Is interested in machine learning - Is a student thinking of building a lucrative and interesting career in the data science domain - Is a working professional wishing for a change to the cutting edge tech - Is looking to add value to their jobs - Is a data analyst who wants to level up into a data scientist - Intermediates who wish to get a holistic idea of how AI functions
I am Abhinav Mahapatra. I am a senior data scientist at a multinational company having over 6 years of work experience and over 4 years of teaching experience. I am deeply passionate about AI and its applications. I actively research the latest and upcoming technologies and try to make them as simple as possible for my viewers to understand.