MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 6 lectures (49m) | Size: 279.8 MB

Machine learning algorithms with python with projects examples, quizes & test-series

learn the basics using real world examples
learn about every major topics ,working with python 3
understand and learn machine leaning and predictive model based on machine learning
have the skills and understanding of python to confidently apply for machine learning , data science , acads and Python programming jobs.

basics of machine learning on python
learn about different types of machine learning algorithms

anaconda software
nO prior knowledge of python is required
just some high school mathematics level
required for this course only your true efforts towards learning , lots of practice , and .. thats all to go..

this course is complete guide to both supervised and unsupervised learning using python.this means,this course covers all the main aspects of practical data science and if you take this course you can do away withtaking other course or buying books on python based data science .
in this age of big data companies across the globe use python to sift through the avalache of information at their disposal..
by becoming proficient in unsupervised and supervised learning in python,you can give your company a competitive edge and boost your careeer to the next level.
my name is aakash singh and i had also recently published my research paper in international journal ijsr on machine learning dataset.
this course will give you robust grounding in the main aspects of machine learning-clustering and classification.
you will start by absorbing the most valuable python data science basics and techniques.
I use easy to understand hands on methods to simplify and address even the most difficult conceptsin python.
my course will help you to implement the methods using real data obtained from different sources.
after using this course you will easily use package like numpy,pandas,and mathplotlib to work with real data in python..
we will go through lab section on jupyter notebook teal .we will go through lots of real life examples for icreasing practical side knowledge of the programming and we should not neglect theory section als,which is essential for this course,by the end of this course you will be able to code in python language and feel confident with machine learning and you will also be able to create your own program amd implement were you want.
most importantly ,you will learn to implement these techniques practically using python ,you will have access to all the data and scripts used in this course.remenber ,i am always around to support my students
both python and machine learning are most neede skills nowadays ,sign up today

those who don't know where to start with python and machine learning
those who need a complete guide on how to start and continue their career with python




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