I am Kushal from LearnVern. ( 6 seconds pause ; music )
Today with full excitement,
I am introducing you to our end to end programme on Machine Learning.
If you are a graduate, or you are a working professional in both cases this particular course would be really very useful for you all.
In this course, we will learn from its scratch,
starting with its basics to its end to end.
Meaning we will be learning about:-
Machine Learning's Optimization Techniques,
Machine Learning's Projects Development,
And, even uptil automatic machine learning packages
We have discussed everything.
I, have around 15 years of industry experience,
And I have Relevant Experiences of
And Artificial Intelligence.
Currently, I am heading a team of software developers in Pune
So, this entire course would be presented to you by me on behalf of LearnVern's team.
Let's see What are the benefits that can be seeked through this course?
You might want to become a Machine Learning Engineer.
Or, You want to be a part of a team of Data Scientists.
Or, even if you are just searching for an Internship.
Or, maybe you just want to switch your career.
In all cases you can enrol with this course,
And Execute it really well from its end to end.
Let us see,
What are we going to Learn from this?
In this course, we will learn about Different kinds of Libraries
So, in this we will start with Python's
And Starting with these libraries.
Where we will see:-
How is pre pre-processing of data done?
How an exploratory analysis is done on data?
How different types of visualisation can be done on data?
So this will be our fundamental part.
After we know to handle the data.
Then we will see about
What are Machine Learning's different types?
What are they?
Like, Supervised Learning,
now to implement this, we have different packages of Python.
For example there is sklearn (pronounce : S k learn ) or we have scipy, (pronounce : Sai pai) there is mlxtend. (pronounce : M L extend )
So, we will see about these different packages,
And then we will execute this.
Now, after this,
Our exercises on this,
will be completely practical based, scenario based and project based
With this, you will get an exposure, a flavour
how if somebody is working in this industry will use these techniques or these tools to develop a product or a project.
Along with this, if at all you have the fear,
That my mathematics is weak, or my statistics is really poor.
Then also, you don't have to worry about that as well.
Because in each and every programme whenever we are executing it, we make sure that we cover the basic statistics.
That means even if you do not have a sound Knowledge of mathematics you can understand the concept and implement it really well.
Let us move ahead,
So, as I had said,
As you will move ahead with this course you will get to see that
you would be able to develop projects and along with the development of projects in the end you will also get to learn about,
How Mock Interviews are?
about interview questions and answers and also techniques.
So, with all this in full excitement,
Let's start and begin with this Machine Learning Course.
Today we will stop our session here itself.
And now we will continue in the next session.
If you have any queries or comments, click the discussion button below the video and post there. This way, you will be able to connect to fellow learners and discuss the course. Also, Our Team will try to solve your query.
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