This will allow you to choose your labels, and then label every image in a zip file or text line in a CSV file out of the categories you chose (any text string is a valid label -NO LIMTS!)! Great for training CNN or neural network architectures of any kind!
Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).
50_startups_prj3 multiple linear regression practical
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
Example-Script to load data from a database and classify by the K-Nearest Neighbor (KNN) Algorithm.
We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.
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