Multi-Class Classification

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

Hits: 85   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: 41  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: 74   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: 8   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: 4   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: 8   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: 9   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: 7   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: 4   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: 4   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: 2   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 …

How to apply sklearn Bagging Classifier to yeast dataset – multiclass classification

Hits: 6   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 Bagging Classifier to yeast dataset – multiclass classification. What should I learn from this recipe? You will learn: How to …

How to apply sklearn decision tree algorithm to yeast dataset for multiclass classification

Hits: 11   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 decision tree algorithm to yeast dataset for multiclass classification. What should I learn from this recipe? You will learn: How …

How to classify images using CNN layers in Keras: An application of MNIST Dataset

Hits: 7   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 classify images using CNN layers in Keras: An application of MNIST Dataset. What should I learn from this recipe? You will learn: …

How to setup CNN layers in Keras for image classification

Hits: 5   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 setup CNN layers in Keras for image classification. What should I learn from this recipe? You will learn: How to code a …

Image classification using Xgboost: An example in Python using CIFAR10 Dataset

Hits: 11   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: Image classification using Xgboost: An example in Python using CIFAR10 Dataset. What should I learn from this recipe? You will learn: Image classification using …