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Видео ютуба по тегу Predicting New Data Using Sklearn After Standardizing The Training Data
Scaling Inputs during Prediction using Sklearn's StandardScalar
Python: center, scaling, standardizing data
Масштабирование функций Python в SciKit-Learn (нормализация и стандартизация)
Python MinMaxScaler and StandardScaler in Sklearn (scikit-learn)
Train Test Split with Python Machine Learning (Scikit-Learn)
168.2 Feature Selection through Standardization of Weights (LINEAR REGRESSION WITH SKLEARN)
Standardization in Data Preprocessing | Sklearn.Preprocessing.StandardScaler
Standardization using Sklearn | Standard Scaler | Jupyter Notebook | One Magic Minute
Standardizing dataset for Machine Learning - Best Practices
scikit-learn –Test Predictions Using Various Models: Clustering, Optimizing, Assessing| packtpub.com
Scikit-Learn: Data Standardization, One-hot Encoding and Categorical Data
Predicting Student Exam Scores with Machine Learning (Full Data Science Project Walkthrough)
97 Making Predictions With Our Model Regression | Scikit-learn Creating Machine Learning Models
How to Use a Saved Neural Network on New Data After Standardization
Making Predictions with Data and Python : scikit-learn | packtpub.com
Rescale Data (Normalize or Standardize) using Python
Normalization vs Standardization in Machine Learning | what to choose?
How to Standardize data using Z-Score/Standard Scalar | Python
Interview Success Prediction (Dimensionality Reduction) - Data Every Day #229
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