Tag Archives: iris dataset

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

Hits: 237     Machine learning is a method of teaching computers to learn from data without being explicitly programmed. One of the most commonly used algorithms for classification tasks is the Linear Discriminant Analysis (LDA) algorithm. In this article, we will be discussing how to use LDA for classification in R using the IRIS …

Applied Machine Learning Coding | TuriCreate in Python | IRIS Dataset

Hits: 256 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: TuriCreate in Python.     Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist Applied Machine Learning & Data Science Projects …

Data Science Coding | H2O in Python with Grid Search Cross Validation | IRIS Dataset

Hits: 94Data Science Coding | H2O in Python with Grid Search Cross Validation | IRIS Dataset H2O.ai is an open-source platform that provides a wide range of machine learning algorithms and tools for building, deploying, and managing models. It is written in Java and has APIs for several programming languages, including Python. Grid Search Cross …

Data Science Coding | Keras and Tensorflow with Grid Search Cross Validation | IRIS Data | WACAMLDS

Hits: 91Keras and Tensorflow with Grid Search Cross Validation | IRIS Data Keras and TensorFlow are two powerful libraries that are used for building and training machine learning models. Keras is a high-level neural networks API, written in Python, that runs on top of TensorFlow. It is designed to make it easy to build and …

SKLEARN Gradient Boosting Classifier with Monte Carlo Cross Validation

Hits: 122SKLEARN Gradient Boosting Classifier with Monte Carlo Cross Validation   Gradient Boosting Classifier is a machine learning technique used to classify items into different categories. It is an ensemble method that combines the predictions of multiple weak models, such as decision trees, to make a final prediction. The technique uses an iterative process where …

IRIS Flower Classification using SKLEARN RandomForest Classifier with Monte Carlo Cross Validation

Hits: 156  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: IRIS Flower Classification using SKLEARN RandomForest Classifier with Monte Carlo Cross Validation.   Personal Career & Learning Guide for Data Analyst, Data Engineer and Data …

IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation

Hits: 95IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation   The IRIS flower is a popular example in the field of machine learning. It is a type of flower that has different variations, such as the setosa, virginica, and versicolor. In this blog, we will be discussing how to classify the …

End-to-End Machine Learning: IRIS Flower Prediction in R

Hits: 82 End-to-End Machine Learning: IRIS Flower Prediction in R IRIS flower prediction is a machine learning task that involves identifying the type of IRIS flower based on certain characteristics such as the flower’s petal length and width, and sepal length and width. There are three types of IRIS flowers: Setosa, Versicolor, and Virginica, and …

Compare Machine Learning Algorithms with IRIS Dataset

Hits: 246 Compare Machine Learning Algorithms with IRIS Dataset Comparing machine learning algorithms with the IRIS dataset in Python is a common task in machine learning, as it allows to evaluate the performance of different algorithms on a known dataset and choose the best one for a specific problem. The IRIS dataset is a popular …

How to optimise hyper-parameters of a DecisionTree Model using GridSearchCV in Python

Hits: 39How to optimise hyper-parameters of a DecisionTree Model using GridSearchCV in Python When building a machine learning model, it’s important to optimize the parameters of the model for the best performance. One way to do this is by tuning the hyper-parameters of a DecisionTree model using GridSearchCV. A Decision Tree model is a simple …

IRIS Flower Classification using Logistic Regression Classifier

Hits: 791IRIS Flower Classification using Logistic Regression Classifier   IRIS flower classification is a common problem in machine learning. The IRIS dataset is a well-known dataset that contains information about different types of IRIS flowers, including their sepal length, sepal width, petal length, and petal width. The goal of IRIS flower classification is to use …