⌨️ () Introduction
⌨️ () Installing SKlearn
⌨️ () Plot a Graph
x = list(range(10))
⌨️ () Features and Labels_1
You made a mistake at , Labels are also inputs and not outputs
⌨️ () Save and Open a Model
⌨️ () Classification
⌨️ () Train Test Split
⌨️ () What is KNN
Sir, how to describe in scatterplot form if more than 2 features
instead of getting in to the file and adding the names of columns, one can use the following command
⌨️ () KNN Example
Giving Key Error @
Sir, what is difference between label enconder and mapping feature?
@ 'As you can see our model is pretty accurate'Well.... 50+ % of the data is labeled as 0, so simply guessing 0 would get us close to the accuracy of the model. The model is quite bad to be honest :DHowever, thank you for the video!
⌨️ () SVM Explained
SVM
At , it gets more textual with little insights from the speaker and adds no value! Sorry to say, but this video just gives information rather than explaining the science and logic behind it
⌨️ () SVM Example
At i am gettingValueError: bad input shape (30, 4) ....but you didn't got the error ... please help.....
⌨️ () Linear regression
⌨️ () Logistic vs linear regression
Thanks!! .. the logit function... I think it should separate y from 0 [instead of 1]. If you consider z= e^-y, z would go from inf to 0, crossing 1 at y=0. So when y is negative, z gets bigger and bigger, and logit function would tend to 0; when y is positive, z gets closer and closer to 0, and logit function would tend to 1
⌨️ () Kmeans and the math beind it
⌨️ () KMeans Example
⌨️ () Neural Network
⌨️ () Overfitting and Underfitting
⌨️ () Backpropagation
⌨️ () Cost Function and Gradient Descent
⌨️ () CNN
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