50- Logistic Regression in Machine Learning with Python-(Day-24)

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This video explains logistic regression.
Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool.
Logistic regression is used mostlyin machine learning for classification of data using maximium likelihood method of statistics.
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present
13:39 Least Square Regression is a method that minimizes the error in such a way that the sum of all square errors is minimized
19:00 Maximum likelihood is a method used in machine learning to determine the set of parameters for a model that best explains a set of observations.

A Sigmoid function is a mathematical function which has a characteristic S-shaped curve. There are a number of common sigmoid functions, such as the logistic function, the hyperbolic tangent, and the arctangent .

sanashah

13:43
**Least Square Method** To find the best fit for a set of data points least square method is used.

muhammadsair

13:40 Least Square Method: The least-squares method is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve.

muhammadammarmohsin

13:40 The least-squares method is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve.

jmych

16:00
S shape function is 'Sigmoid Function' which changes any range of values to a range of *Zero to One* (0-1).

asadtariq

Started watching logistic Regression in Machine Learning with Python.

quratulainhabib

What an easy explanation.. JazakaAllah

abdurrasheed

Start watching... Like to learn python with codanics and Dr.Aammar

faizaafzal

Watched the video and basic concept is cleared now

nov

13:40
With the help of "least square method" we tried to find the best line which fits to our data points.

luqmanbutt

S shape function is 'Sigmoid Function' which bounds any range of values to a limit from Zero to One

zeeshanahmed

Video watched and clear Logistic Regression

goharrahman

1:50, there's a clear difference in linear and logistic regression

aasimnawaz

Logistic regression in Machine Learning with Python is clear

shahidiqbal

zero means no relationship
-1, negative relationship
+1, positive relationship

aasimnawaz

Logistic regression in Machine Learning with Python is Clear

zohairshehzad

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