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  • Linear Regression, Machine Learning, Regression

Linear Regression — Part IV — Chance of Admission Prediction

Ever thought about doing magic or predict future? Here is the guide! lol! In this article lets go programming with sklearn package to explore Linear Regression and learn how to do prediction with Linear Regression. We have seen enough theories…

  • Asha Ponraj
  • July 19, 2020
  • Linear Regression, Machine Learning

Linear Regression — Part III — R Squared

R Squared is one of the metrics by which we can find the accuracy of a model that we create. R squared metrics works only if the regression model is linear. SSE — Sum of Squares of Residuals (Errors) SSR is the sum…

  • Asha Ponraj
  • July 19, 2020
  • 1 Comment
  • 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
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