SkillShare – Machine Learning with Complete Python A-Z

SkillShare – Machine Learning with Complete PythonA-Z-SkilledHares
English | Size: 1.95 GB
Category: Tutorial


Are there any course requirements or pre-requisites ?

A working computer (with Windows)
Basics of python programming
Just some high school mathematics level
Anaconda software
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.

What Students will learn in this course ?

Learn OOPS(object-oriented programming )
Learn about every major topics ,working with python 3
Learn the basics using real world examples
Basics of machine learning on python
Fundamental of machine learning
Learn about different types of Machine Learning Algorithms
Make accurate prediction On different data-sets by using machine learning.
Make powerful analysis
Know which machine learning model to choose for each type of problem
Create Complex Visualization with Matplotlib
Linear Regression,Logistic Regression,KNN,Decision Tree,Naive Bayes,Random Forest

Who are our Targeted students ?

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
Anyone who wants to learn concept of machine learning
student who have at least high school knowledge in math and who want to start learning Machine Learning
Any student in college who want to start career in data science
Any data analysts who want to level up in Machine Learning

Author: Aakash Singh
Duration: 4h 52m
Exer/Code:

Installation:
Unpack that shit, run that shit

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