Remove Clustering Remove Cross Validation Remove Support Vector Machines
article thumbnail

Top 8 Machine Learning Algorithms

Data Science Dojo

Support Vector Machines (SVM): This algorithm finds a hyperplane that best separates data points of different classes in high-dimensional space. Clustering Algorithms: Clustering algorithms can group data points with similar features. Points that don’t belong to any well-defined cluster might be anomalies.

article thumbnail

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. What is cross-validation, and why is it used in Machine Learning?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Support Vector Machines (SVM) SVMs classify data points by finding the optimal hyperplane that maximises the margin between classes. Python facilitates the application of various unsupervised algorithms for clustering and dimensionality reduction. classification, regression) and data characteristics.

article thumbnail

Understanding and Building Machine Learning Models

Pickl AI

Clustering and dimensionality reduction are common tasks in unSupervised Learning. For example, clustering algorithms can group customers by purchasing behaviour, even if the group labels are not predefined. spam detection), you might choose algorithms like Logistic Regression , Decision Trees, or Support Vector Machines.

article thumbnail

Statistical Modeling: Types and Components

Pickl AI

Applications : Stock price prediction and financial forecasting Analysing sales trends over time Demand forecasting in supply chain management Clustering Models Clustering is an unsupervised learning technique used to group similar data points together. Popular clustering algorithms include k-means and hierarchical clustering.

article thumbnail

Big Data Syllabus: A Comprehensive Overview

Pickl AI

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Model Evaluation Techniques for evaluating machine learning models, including cross-validation, confusion matrix, and performance metrics.

article thumbnail

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

C Classification: A supervised Machine Learning task that assigns data points to predefined categories or classes based on their characteristics. Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities.