House of Python
10 USD 1 .Download the Wine sample using the method from the sklearn library
2ndThe drawings of the characteristics and classes.More detail about the essence of the signs can be read from the description of the dataset.
ThreeThe quality assessment should be carried out by cross-validation method by 5 blocks (5-fold).Create a breakthrough generator that blends the sample before the blocks are formed (shuffle = True).To reproduce the result, create a KFold generator with a fixed parameter random_state=42.As a quality measure, use the percentage of correct answers (accuracy).4 .Find the accuracy of cross-validation classification for the method k nearest neighbors (sklearn.neighbors.KNeighborsClassifier), with k from 1 to 50.Which k has the best quality?What is it equal (number in the interval from 0 to 1)?and 5.Create scalability with the sklearn.preprocessing.StandartScaler function. Find the optimal k on crossvalidation again.6 .What value k was optimal after bringing the signs to one scale?How has the value of quality changed?7 .Repeat the steps from 4 to 5 for the wooden solution method, where instead of k, change the parameters of the wooden depth from 1 to 20.How the accuracy changes when the depth of the tree increases.8 .For this same data collection, use linear methods, in particular with the perseptron sklearn.linear_model.Perceptron. For this method, try to change the alpha parameter.How the accuracy changes.The 9.Apply this algorithm for scalable signs.How the accuracy will change.Try also to change the alpha parameter.The 10.Find out which of the algorithms is the most suitable for this data set.
Client's review of cooperation with Dmitro Kit
House of PythonA very remarkable executive. I recommend it. He remained satisfied. I will address in the future.
Freelancer's review of cooperation with Rustam Davletov
House of PythonClear and clear task, thank you for cooperation.
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Winning proposal1 day10 USD
1138 25 0 Winning proposal1 day10 USD
Good day Rustam. I have a lot of experience working with sklearn, especially with classification tasks. I can describe everything in detail and with comments.
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Almaty (Alma-Ata)