Project translated automatically. Log in or register, to view the original We will use the Wine data set, where it is necessary to predict the variety of vineyard from which the wine is made using the results of chemical tests.Follow the following steps: 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.

Proposals 1

Dmitro Kit

Winning proposal

25 0

Projects 25
Rating -
Rating 1 138

Budget: 450 UAH Deadline: 1 day

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.

Current freelance projects in the category Python

Refinement of the Python program for the new Twitter (X) chat interface.

Desktop Apps 70 proposals 31 July

Not specified
Signal bot for trading

Bot Development 69 proposals 31 July

67 USD
Website parsing, bypassing Akamai protection

Data Parsing 47 proposals 30 July

Not specified
Development of an AI bot for receiving and processing orders from restaurants in Telegram with integration into 1C.

78 proposals 29 July

448 USD
Need to fix a bug in the current version of the bot.

Bot Development 88 proposals 27 July

Not specified

Rustam Davletov
Almaty (Alma-Ata), Kazakhstan

Projects 5
Rating -
Rating 527

Rustam Davletov

Dmitro Kit

Dmitro Kit

Proposals are currently absent

Current freelance projects in the category Python

Refinement of the Python program for the new Twitter (X) chat interface.

Signal bot for trading

Website parsing, bypassing Akamai protection

Development of an AI bot for receiving and processing orders from restaurants in Telegram with integration into 1C.

Need to fix a bug in the current version of the bot.