When working on the Python project, if you receive the error message stating, “NameError: name ‘StandardScaler’ is not defined,” it means sci-kit-learn, an open-source library for machine learning, has not
Preparation work: Firstly, it is necessary to ensure that Python has been installed and the relevant environment has been configured. 2. Install the Feature engine library: You can install it by running 'pip install feature engine' from the command line. Dependent class libraries: 1. Feature en...
line 257, in decision_function X = check_array(X, accept_sparse=‘csr’) File “D:\Pytho...
Both normalization and standardization can be achieved using the scikit-learn library. Let’s take a closer look at each in turn. Data Normalization Normalization is a rescaling of the data from the original range so that all values are within the new range of 0 and 1. Normalization requires...
pythonherokuflaskdotenvmachine-learningneural-networkspotify-apipandaslogistic-regressiontableausvm-classifierscikitlearn-machine-learningspotipynumpy-libraryrandom-forest-classifierjoblibstandardscalerminmaxscalar UpdatedJan 23, 2023 Jupyter Notebook rochitasundar/Stock-clustering-using-ML ...