Machine Learning with Python: The Complete Guide

What you'll learn

Learn core concepts of machine learning with python
Learn to implement Ml algorithms
Learn to craft ML models and solutions for real world problems

Requirements

Basic knolwedge of Python is required to complete the course

Description

Machine learning is on the rise with the explosion of technologies. As more people are drawn to this field, the outcomes are diversifying immensely.

Machine learning as stated by Tom M. Mitchell from Carnegie Mellon University is- “The study of computer algorithms that improve automatically through experience”. The major difference between the two is that AI focuses on the overall aspect of a subject while machine learning narrows it down and focuses on any of it and over time, improves on it.

People are enticed by this field and they are huddling together to learn in depth about it. One of the key essentials to get accustomed to its features by using Python. Python is the easiest and the most popular programming language by far and learning it couldn’t be easier! Keeping in mind these factors, we have developed a course that addresses the growing need for machine learning enthusiasts.

Why Should I Choose this Course?

I couldn’t emphasize enough on the opportunities that awaits you! This course explains machine learning with all the fundamentals. If you are unaware of the basic terminologies for ML then don't worry, we got you covered. Our course covers the basics of the ML as well as all the advanced concepts. Unlike a vast amount of courses, we also teach the crucial aspects of Python. Machine learning without knowing Python is of as much use as a hammer made of glass.

What makes this course so valuable?

The course is inclusive of all the topics you need to know to become proficient. This guide unfolds with the basic introduction to machine learning and its applications. Furthermore, you’ll also get to know how Python plays the role of a catalyst and also learn the subject closely. Also, get yourself known to the best practices of data sciences such as validation techniques and understanding over/under-fitting.

The Course contains:

Introduction of machine learning

Important concepts related to machine learning

Types of machine learning

Detailed analysis of types of machine learning

Get to know the concepts of supervised and unsupervised learning, neural networks, reinforced learning, etc

and Much More!

So, if you envision a career in machine learning, this course is the perfect match for you!

Who this course is for:

Anyone who wants to get started on Machine learning and AI will find this course very useful