Data Science Dojo

JULY 15, 2024

Support Vector Machines (SVM): This algorithm finds a hyperplane that best separates data points of different classes in high-dimensional space. K-Nearest Neighbors (KNN): This method classifies a data point based on the majority class of its K nearest neighbors in the training data.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

Towards AI

JULY 3, 2024

Community & Support: Verify the availability of documentation and the level of community support. Algorithms with strong support frequently have a wealth of resources available for optimization and debugging. So, Who Do I Have?

K-nearest Neighbors 105

K-nearest Neighbors Machine Learning Machine Learning Algorithm 105

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. Radom Forest install.packages("randomForest")library(randomForest) 4. data = trainData) 5.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? LLaMA Meet the latest large language model!

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? LLaMA Meet the latest large language model!

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

ODSC - Open Data Science

JANUARY 5, 2024

It is easy to use, with a well-documented API and a wide range of tutorials and examples available. With the explosion of AI across industries TensorFlow has also grown in popularity due to its robust ecosystem of tools, libraries, and community that keeps pushing machine learning advances. What really makes Django are a few things.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52