Month: April 2020

Pair wise correlations using pearson spearman coefficients | Jupyter Notebook | R Data Science

  Pair wise correlations using Pearson and Spearman coefficients in R are used to measure the strength and direction of the linear relationship between two variables. In this essay, we will go over the steps needed to calculate pair wise correlations using Pearson and Spearman coefficients in R. The first step is to load the …

Machine Learning for Binary Classification | Jupyter Notebook | Python Data Science for beginners

  A machine learning project for Binary Classification involves training a model to predict the class of an input data point, among two classes. In this essay, we will go over the steps needed to create a machine learning project for Binary Classification in Python. The first step is to collect and prepare the data. …

Machine Learning Project for MultiClass Classification | Jupyter Notebook | Python Data Science

  A machine learning project for Multi-Class Classification involves training a model to predict the class of an input data point, among multiple classes. In this essay, we will go over the steps needed to create a machine learning project for Multi-Class Classification in Python. The first step is to collect and prepare the data. …

Voting Ensembles for Classification | Jupyter Notebook | Python Data Science for beginners

  Voting Ensembles are a method of ensemble learning that is used to improve the performance of multiple classifiers. Ensemble learning is a method that combines the predictions of multiple models to improve the overall performance. In this essay, we will go over the steps needed to create Voting Ensembles for classification in Python. The …

Random Forest Ensembles for Classification | Jupyter Notebook | Python Data Science for beginners

  Random Forest Ensembles are a method of ensemble learning that is used to improve the performance of decision tree classifiers. Ensemble learning is a method that combines the predictions of multiple models to improve the overall performance. In this essay, we will go over the steps needed to create Random Forest Ensembles for classification. …

Gradient Boosting Ensembles for Classification | Jupyter Notebook | Python Data Science for beginner

  Gradient Boosting Ensembles are a method of ensemble learning that is used to improve the performance of decision tree classifiers. Ensemble learning is a method that combines the predictions of multiple models to improve the overall performance. In this essay, we will go over the steps needed to create Gradient Boosting Ensembles for classification …

Extra Trees Ensembles for Classification | Jupyter Notebook | Python Data Science for beginners

  Extra Trees ensembles are a method of ensemble learning that is used to improve the performance of decision tree classifiers. Ensemble learning is a method that combines the predictions of multiple models to improve the overall performance. In this essay, we will go over the steps needed to create Extra Trees ensembles for classification …

Bagging CART Ensembles for Classification | Jupyter Notebook | Python Data Science for beginners

  Bagging CART ensembles are a method of ensemble learning that is used to improve the performance of decision tree classifiers. Ensemble learning is a method that combines the predictions of multiple models to improve the overall performance. In this essay, we will go over the steps needed to create Bagging CART ensembles for classification …