DevSkrol » Page 9 of 9 » Data Science Tutorials and Articles for Beginners

DevSkrol

Linear Regression, Machine Learning

Linear Regression — Part II — Gradient Descent

Gradient descent is an optimization algorithm used to minimize a cost function (i.e. Error) parameterized by a model. We know that Gradient means the slope of a surface or a line. This algorithm involves calculations with slope. To understand about Gradient Descent, we…

Asha Ponraj
July 19, 2020
4 Comments

Linear Regression, Machine Learning, Uncategorized

Linear Regression — Part I

Linear Regression is a linear approach to model the relationship between a two or more variables by fitting a straight line i.e. linear, to predict the output for the given input data. To perform Linear Regression, Data should accomplish the below…

Asha Ponraj
July 18, 2020

Statistics

Correlation Vs Causation

Correlation Vs Causation, We know that correlation and causation talks about the relationship between 2 variables.

Asha Ponraj
July 17, 2020
8 Comments

Statistics

Why the Correlation Coefficient r ranges between -1 and +1?

Correlation Coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables.

Asha Ponraj
July 16, 2020
1 Comment

Machine Learning, Regression

What is Regression in Terms of ML?

What is Regression in terms of ML, Regression in Machine Learning, Detailed explanation of Regression and its advantages

Asha Ponraj
July 16, 2020

Python Tips

Python — Numpy — Understanding Arrays & Dimensions

Python Numpy Understanding Arrays & Dimensions, Numpy is a python library used for computing scientific/mathematical data

Asha Ponraj
July 16, 2020
2 Comments

Statistics

Degrees Of Freedom — Why it is n-1 ?

Why Degrees Of Freedom it is n-1, explained in detail with examples

Asha Ponraj
July 15, 2020