Answer to Question #309014 in Python for Akash

Question

You work in XYZ Company as a Python. The company officials want you to write code for reducing the dimensions of a dataset

Tasks to be performed: -

- Using load_digits function from sklearn import wines data

- Take a look at the shape of image data

- Import PCA, LDA and FactorAnalysis from Sklearn

- Project data in 2 D space using the PCA, LDA and FactorAnalysis algorithm form sklearn

- Take a look at the new data

Answer 1

from sklearn import datasetsdigits = datasets.load_digits()Xtrain, Xtest, ytrain, ytest = train_test_split(digits.data, digits.target)

# Apply logistic regression and print scoreslr = LogisticRegression()lr.fit(Xtrain, ytrain)print(lr.score(Xtrain, ytrain))print(lr.score(Xtest, ytest))

# Apply SVM and print scoressvm = SVC()svm.fit(Xtrain, ytrain)print(svm.score(Xtrain, ytrain))print(svm.score(Xtest, ytest))