Machine Supervised Learning: Regression in Python 3 and Math
- 3.7
-
![]()
![]()
![]()
![]()
Brief Introduction
Master Regression Algorithm as it provides a base for you to build on and learn other ML algorithms.Description
Artificial Intelligence has become prevalent recently. People across different disciplines are trying to apply AI to make their tasks a lot easier. For example, economists are using AI to predict future market prices to make a profit, doctors use AI to classify whether a tumor is malignant or benign, meteorologists use AI to predict the weather, HR recruiters use AI to check the resume of applicants to verify if the applicant meets the minimum criteria for the job, etcetera. The impetus behind such ubiquitous use of AI is machine learning algorithms. For anyone who wants to learn ML algorithms but hasn’t gotten their feet wet yet, you are at the right place. The rudimental algorithm that every Machine Learning enthusiast starts with is a linear regression algorithm. Therefore, we shall do the same as it provides a base for us to build on and learn other ML algorithms.
Before knowing what is linear regression, let us get ourselves accustomed to regression. Regression is a method of modeling a target value based on independent predictors. This method is mostly used for forecasting and finding out the cause and effect relationship between variables. Regression techniques mostly differ based on the number of independent variables and the type of relationship between the independent and dependent variables.
Want to learn more about regression? Don't hesitate and join us to begin the journey of learning!
Requirements
- Requirements
- Secondary school math.
- Basic programming skills in Python.
Ahmed Attia
3.7 Raiting
Deep Learning A-Z™: Hands-On Artificial Neural Networks
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included. *** As seen on Kickstarter ***...
Hybrid Python3|Swift4 Applications
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Data Science for Swift/Python Hackers. BI-RADS DATA SCIENCE FOR SWIFT/PYTHON HACKERS, is a course designed by an iOS Developer for iOS and Python Developers....
Fundamentals of Machine Learning with Python Implementation.
- 3.5
-
![]()
![]()
![]()
![]()
![]()
Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved Hello there! Welcome to Fundamentals of Machine Learning with Python Implementation....
Meaningful Predictive Modeling
- 4.4
-
![]()
![]()
![]()
![]()
![]()
This course will help us to evaluate and compare the models we have developed in previous courses. Or how do we decide which of two regression algorithms is better?...
