- Course type
- Paid course
- All Levels
- 5 hours
- 47 lessons
- Available on completion
- Course author
- Aakash Singh
- 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 , academics and Python programming jobs.
- Basics of machine learning on python
- Learn about different types of Machine Learning Algorithms
HERE IS WHY YOU SHOULD TAKE THIS COURSE
This Course is complete Guide to both supervised & 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 with taking other courses or buying books on python based data science.
In this age of big data,companies across the globe use python to sift through the avalanche of information at their disposal..
By becoming proficient in unsupervised & supervised learning in python,you can give your company a competitive edge and boost your career to the next level.
LEARN FROM AN EXPERT DATA SCIENCE WITH +3 YEARS OF EXPERIENCE:
My name is Aakash singh and I had also recently published my Research paper in an International Journal IJSR on machine learning dataset.
this course will give you robust grounding in the main aspects of machine learning-clustering & classification.
NO PRIOR PYTHON OR STATISTICS OR MACHINE LEARNING KNOWLEDGE IS REQUIRED:
you will start by absorbing the most valuable python Data science basics anf techniques.
I use easy-to-understand ,hand-on methods to simplify and address even the most difficult concepts in python.
My courses will help you to implement the methods using real data obtained from different sources.
After taking this course,you'll easily use package like Numpy,pandas,and Matplotlib to work with real data in python..
we will go through lab section on jupyter notebook terminal .we will go through lots of real life example for increasing practical side knowledge of
the programming and we should not neglect theory section also,which is essential for this course,By the end of this course you will able to code
in python language and feel confident with machine learning and you will also be able to create your own program and implement were you want.
most importantly ,you will learn to implement these techniques practically usung python ,you will have access to all the data and scripts used inthis course. Remember,I am always around to support my students!
Both Python and Machine Learning are most needed skills nowadays ,SIGN UP TODAY!