Prerequisites to this course
Good news for you! You do not need any pre-requisite knowledge to be enrolled in this course. This course is wholesome itself. Through, it requires undergraduate-level mathematics, but again it is not mandatory.
Moreover, you may interact with the python environment for your ease or we will cover it, too.
Why should you enroll this course?
Stanford-educated, ex-Googler and an IIT, IIM is going to teach this course. The team of instructors is an educated ex-Flipkart lead analyst having practical experience for decades in analytics and e-commerce and quant trading.
This machine learning and NLP course is down-to-earth, humble but assured on machine learning and NLP techniques that every learner can put to accomplish today!
Let us parse this machine learning and NLP course here:
Machine Learning and NLP Course: Down-to-earth
This course will make things possible for you; of course, complexity is not going anywhere. We will teach you to deal with complex scenarios.
Machine Learning and NLP Course: Humble but Assured
This course is authoritative as experts who have been in this field for decades design it. At the same time, this course is humble enough to cut down unnecessarily complicating stuff.
Machine Learning and NLP Course: Everyday consequences
For instance, if machine learning is a vehicle and you are driving this vehicle until now. It will not let you know what carburetor is this vehicle is using.
Machine Learning and NLP Course: Visual Aspects
This course is not providing you with practical implementations but also it covers visual aspects. In this course, all the machine-learning techniques are explained through animations.
Machine Learning and NLP Course: Practical Implementation
The course is encapsulated in tens of hundreds of source code lines along with comments that learners can directly copy in their files and execute them to learn the workability of ML and NLP techniques. These techniques include Modeling, imagery training, NLP swish, Mirroring and Incantations, text classification, and summarization.
Machine Learning and NLP Course: Completely Quirky
The course is designed with enormous examples. It has many little touches and variations of various strategies such as zoom in/out, cognition and recall, recursions, and more. To help learners understand the big picture of the background process of ML techniques, we have set plenty of assessment tasks and quizzes consisting of peppy soundtrack and arts, and more.