Supervised Learning

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

Hits: 83   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 and Data Science in Python using Random Forest Algorithm with Ames Housing Dataset | Pandas | Scikit-Learn

Hits: 12  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 Random Forest Algorithm with Ames Housing Dataset. What should I learn from this Applied Machine Learning & …

Machine Learning and Data Science in Python using Decision Tree with Ames Housing Dataset tutorials | Pandas | Scikit-Learn

Hits: 26   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 …

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: 3   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 tune Hyperparameters in Gradient boosting Classifiers in Python

Hits: 10   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 tune Hyperparameters in Gradient boosting Classifiers in Python. What should I learn from this recipe? You will learn: How to install, load …

How to apply CatBoost Classifier to adult income data

Hits: 14   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 CatBoost Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load and …

How to apply XGBoost Classifier to adult income data

Hits: 13   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 XGBoost Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load and …

How to apply Gradient Boosting Classifier to adult income data

Hits: 13   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 Gradient Boosting Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load …

How to compare Bagging ensembles in Python using adult income dataset

Hits: 10   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 adult income dataset. What should I learn from this recipe? You will learn: How to install, …

How to apply sklearn Random Forest Classifier to adult income data

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 apply sklearn Random Forest Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load …

How to setup a GRU (RNN) model for imdb sentiment analysis in Keras

Hits: 26   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 a GRU (RNN) model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How …

How to setup a LSTM (RNN) model for imdb sentiment analysis in Keras

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 setup a LSTM (RNN) model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How …