Multi-Class Classification

How to write a program to classify Image using Keras and Python

Hits: 97 (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 …

Write a program to predict mobile price using XGBoost with Monte Carlo Cross Validation in Python

Hits: 69 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using XGBoost with Monte Carlo Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using XGBoost with Monte Carlo Cross Validation in …

Write a program to predict mobile price using XGBoost with Grid Search Cross Validation in Python

Hits: 124 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using XGBoost with Grid Search Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using XGBoost with Grid Search Cross Validation in …

Write a program to predict mobile price using Random Forest Classifier with Monte Carlo CV in Python

Hits: 34 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using Random Forest Classifier with Monte Carlo CV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using Random Forest Algorithm with Monte Carlo …

Write a program to predict mobile price using Decision Tree with Grid Search CV in Python

Hits: 90 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using Decision Tree with Grid Search CV in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using Decision Tree with Grid Search CV in …

Machine Learning Classification in R using Support Vector Machine with IRIS Dataset

Hits: 302   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Machine Learning Classification in R using Support Vector Machine with IRIS Dataset. What should I learn from this Applied Machine Learning & Data Science …

Machine Learning Classification in R | Quadratic Discriminant Analysis | Data Science for Beginners

Hits: 162  In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials. What should I learn from this Applied …

Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials

Hits: 202   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials. What should I learn from this …

Machine Learning and Data Science in Python using XGBoost with Ames Housing Dataset | Pandas | MySQL

Hits: 96   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Machine Learning and Data Science in Python using XGBoost with Ames Housing Dataset. What should I learn from this Applied Machine Learning & Data …

Machine Learning with Abalone Dataset in R | Practical Data Science tutorials with R for Beginners and Citizen Data Scientists

Hits: 138   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Machine Learning with Abalone Dataset in R. What should I learn from this Applied Machine Learning & Data Science tutorials? You will learn: Machine …

Boosting ensembles with depth parameter tuning using yeast dataset in Python

Hits: 55   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to compare boosting ensemble Classifiers in Multiclass Classification. What should I learn from this recipe? You will learn: How to install, load and …

How to compare boosting ensemble Classifiers in Multiclass Classification

Hits: 91   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to compare boosting ensemble Classifiers in Multiclass Classification. What should I learn from this recipe? You will learn: How to install, load and …

How to apply LightGBM Classifier to yeast dataset

Hits: 72   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to apply LightGBM Classifier to yeast dataset. What should I learn from this recipe? You will learn: How to install, load and describe …

How to apply Gradient Boosting Classifier to yeast dataset

Hits: 16   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to compare Bagging ensembles in Python using yeast dataset. What should I learn from this recipe? You will learn: How to install, load …

How to compare Bagging ensembles in Python using yeast dataset

Hits: 32   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to compare Bagging ensembles in Python using yeast dataset. What should I learn from this recipe? You will learn: How to install, load …

How to apply sklearn Extra Tree Classifier to yeast dataset

Hits: 23   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to apply sklearn Extra Tree Classifier to yeast dataset. What should I learn from this recipe? You will learn: How to install, load …