With DocHub, you can quickly clear up result in NB from anywhere. Enjoy features like drag and drop fields, editable text, images, and comments. You can collect electronic signatures securely, add an additional layer of protection with an Encrypted Folder, and work together with teammates in real-time through your DocHub account. Make adjustments to your NB files online without downloading, scanning, printing or mailing anything.
You can find your edited record in the Documents folder of your account. Create, send, print out, or convert your file into a reusable template. Considering the variety of robust features, it’s simple to enjoy smooth document editing and managing with DocHub.
hello people from the future welcome to normalized nerd today i will explain the concept behind decision trees to be more precise classification using decision trees as you know me obviously i will discuss the intuition and the underlying math behind training a decision tree and this video will contain a lot of visualizations so i hope you are super excited if you want to see more videos like this and stay connected with me please subscribe to this channel and join our discord server the link will be in the description so letamp;#39;s get started first of all we need some data because no algorithm can learn without any previous experience this data set contains two features x0 and x1 i have plotted x0 along the horizontal axis and x1 along the vertical axis there exists two classes green and red if you notice carefully the classes are not linearly separable that is you canamp;#39;t just draw a line to separate them this is intentional because i want to show you the true power of deci