Tag Archives: sklearn

Machine Learning algorithm Pipeline in Python using scikit-learn

(Machine Learning algorithm Pipeline in Python using scikit-learn) In this Learn through Codes example, you will learn Machine Learning algorithm Pipeline in Python using scikit-learn.  Machine_Learning_algorithm_Pipeline_in_Python_using_scikit_learn Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & Image Data Analytics as …

Bagging Ensemble Machine Learning algorithms in Python using scikit-learn

(Bagging Ensemble Machine Learning algorithms in Python using scikit-learn) In this Learn through Codes example, you will learn Bagging Ensemble Machine Learning algorithms in Python using scikit-learn.  Bagging_Ensemble_Machine_Learning_algorithms_in_Python_using_scikit_learn   Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & Image …

How to compare machine learning algorithms in Python using sklearn

(How to compare machine learning algorithms in Python using sklearn) In this Learn through Codes example, you will learn How to compare machine learning algorithms in Python using sklearn.  Compare_machine_learning_algorithms_in_Python_using_sklearn Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & …

Keras Deep Learning with Grid Search using sklearn

(Keras Deep Learning with Grid Search using sklearn) In this Learn through Codes example, you will learn Keras Deep Learning with Grid Search using sklearn.  Keras_Deep_Learning_with_Grid_Search_using_sklearn Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & Image Data Analytics as …

Keras Deep Learning with 10-fold cross validation using sklearn

(Keras Deep Learning with 10-fold cross validation using sklearn) In this Learn through Codes example, you will learn Keras Deep Learning with 10-fold cross validation using sklearn.  Keras_Deep_Learning_with_10-fold_cross_validation_using_sklearn Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & Image Data …

Regression Machine Learning Algorithms in Python with scikit-learn

(Regression Machine Learning Algorithms in Python with scikit-learn) In this Learn through Codes example, you will learn Regression Machine Learning Algorithms in Python with scikit-learn.  Regression_Machine_Learning_Algorithms_in_Python_with_sklearn Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & Image Data Analytics as …

Random Search Parameter Tuning in Python using scikit-learn

(Random Search Parameter Tuning in Python using scikit-learn) # import python packages import numpy as np from scipy.stats import uniform as sp_rand from sklearn import datasets from sklearn.linear_model import Ridge from sklearn.model_selection import RandomizedSearchCV # load the diabetes datasets dataset = datasets.load_diabetes() # prepare a uniform distribution to sample for the alpha parameter param_grid = …

How to add a dropout layer to a Deep Learning Model in Keras

    In deep learning, a dropout layer is a regularization technique that helps prevent overfitting by randomly dropping out (or turning off) a certain number of neurons during training. In other words, dropout layer randomly drops out a certain percentage of neurons in a layer, so that the neurons in the layer are not …

Learn By Example | How to add a dropout layer to a Deep Learning Model in Keras?

Learn By Example | How to add a dropout layer to a Deep Learning Model in Keras?     Deep learning models are complex algorithms that can be used to solve a variety of tasks, such as image recognition, natural language processing, and more. However, these models can sometimes “memorize” the training data too well, …

Learn By Example | How to setup a Deep Learning Model in Keras?

Learn By Example | How to setup a Deep Learning Model in Keras?   Deep learning is a branch of machine learning that uses neural networks to create models that can automatically learn from data. Keras is a popular open-source library for deep learning in Python, which provides a simple and user-friendly interface to create …