Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 1.99 GB | Duration: 5h 7m

Have the skills and understanding of Python to confidently apply for machine learning , data science , acads and Python programming jobs.

What you'll learn

Learn the basics using real world examples

Learn OOPS(object-oriented programming )

Learn about every major topics ,working with python 3

Understand and learn machine leaning and predictive model based on machine learning

Understand how to create your own machine learning protective models and apply machine learning..

Basics of machine learning on python

Fundamental of machine learning

Learn about different types of Machine Learning Algorithms

Requirements

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..

Description

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course your 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 SCIENTIST 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 a robust grounding in the main aspects of machine learning- clustering & classification.

NO PRIOR PYTHON OR STATISTICS OR MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You'll 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 concepts in Python.

My course will help you implement the methods using real data obtained from different sources.

After taking this course, you'll easily use packages like Numpy, Pandas, and Matplotlib 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 example for increasing practical side knowledge of the programming and we should not neglecting 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 using Python. You will have access to all the data and scripts used in this course. Remember, I am always around to support my students!

Both Python and Machine learning are most needed skills nowadays , Sign up today!

Who this course is for:

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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