SKLEARN

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 …

How to Visualize Machine Learning Data in Python using Pandas

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

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 tune Parameters in Python using scikit learn

(How to tune Parameters in Python using scikit learn) In this Learn through Codes example, you will learn How to tune Parameters in Python using scikit learn.  How_to_tune_Parameters_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 write a program to classify Image using Keras and Python

(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to classify Image using Keras and Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to write a program to classify Image using Keras and Python. Download   How to write a program to classify …

Write a program to cluster customers in different segments in Python

Write a program to cluster customers in different segments in Python.

Write a program to predict Bank Customer Churn using GBM with MCCV in Python

(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict Bank Customer Churn using GBM with MCCV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict Bank Customer Churn using GBM with MCCV in Python.  Download Write a program …

Write a program to predict Bank Customer Churn using GBM with GSCV in Python

(End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict Bank Customer Churn using GBM with GSCV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict Bank Customer Churn using GBM with GSCV in Python.  Download Write a program …

Data Science and Machine Learning for Beginners in Python Decision Tree using Mushroom Dataset

  Data Science and Machine Learning are powerful tools that can be used to analyze data and make predictions. In this article, we will explore the basics of using Decision Trees for classification in Python using the Mushroom dataset from UCI. This dataset contains information about different types of mushrooms and their characteristics, such as …

How to compare boosting ensemble Classifiers in Multiclass Classification

How to compare boosting ensemble Classifiers in Multiclass Classification     When it comes to classification tasks, there are many different machine learning models and techniques that can be used. Boosting ensemble classifiers are one popular method that can be used to improve the performance of a model. Boosting ensemble classifiers are a combination of …