Social And Emotional Learning Courses

Introduction to Machine Learning with caret

Master machine learning fundamentals using R's caret package, covering data preprocessing, model training, evaluation, and cross-validation through hands-on practice with real datasets like iris.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Practical Machine Learning with the mtcars Dataset in R

Master practical machine learning in R through hands-on projects with mtcars dataset, covering preprocessing, model building, evaluation, visualization, and cross-validation techniques.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Introduction to Linear Algebra for Machine Learning

Master essential linear algebra concepts and operations needed for machine learning, from vectors and matrices to determinants and linear dependency, with hands-on Python implementation.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Advanced Calculus for Machine Learning

Master advanced calculus concepts essential for machine learning, including multivariable functions, derivatives, and gradient optimization methods for solving complex mathematical problems.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Introduction to Probability and Statistics for Machine Learning

Master essential probability and statistics concepts crucial for machine learning, from basic probability and descriptive statistics to hypothesis testing and linear regression analysis.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Mastering Clustering in Machine Learning

Master clustering algorithms and validation techniques for unsupervised machine learning, from K-means and DBSCAN to hierarchical methods and performance metrics.

• CodeSignal
• 9 hours
• Self-Paced
• Free Certificate
• 4 courses

Career Certificate

Learning to Code in Swift for Beginners

Master Swift programming fundamentals and build powerful apps for iOS, macOS, watchOS, and tvOS. Learn syntax, data structures, control flow, loops, and functions through engaging space-themed projects.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 5 courses

Career Certificate

Learning and Mastering Redis with Python

Master Redis fundamentals through advanced features using Python, from basic operations and data structures to transactions, pipelines, and high-performance implementations for scalable backend systems.

• CodeSignal
• 13 hours
• Self-Paced
• Free Certificate
• 5 courses

Career Certificate

Learning and Mastering Redis with Node.js

Master Redis fundamentals through advanced features using Node.js, from basic operations and data structures to transactions, pipelines, streams, and high-performance system implementations.

• CodeSignal
• 12 hours
• Self-Paced
• Free Certificate
• 5 courses

Intro to Unsupervised Machine Learning

Master unsupervised machine learning through hands-on practice with clustering, dimensionality reduction, and advanced algorithms using the Iris dataset for practical data analysis applications.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Introduction to Supervised Machine Learning

Master supervised machine learning through hands-on wine quality prediction, implementing linear and logistic regression models while exploring feature analysis, gradient descent, and model evaluation techniques.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Learning Simple Data Structures in JavaScript

Master JavaScript data structures through space-themed examples, covering arrays, objects, sets, and maps while building practical skills in managing and manipulating data effectively.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Learning Simple Data Structures in Java

Master fundamental Java data structures from arrays to HashSets, building practical skills for efficient data management through space-themed programming exercises and real-world applications.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Data Cleaning and Preprocessing in Machine Learning

Master data preprocessing techniques using the Titanic dataset, covering cleaning, handling missing values, outlier detection, feature engineering, and model training with Python and Pandas for effective machine learning preparation.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Foundational Machine Learning Models with Sklearn

Master fundamental machine learning algorithms using Sklearn and the Iris dataset, from linear regression to decision trees, with hands-on implementation, evaluation metrics, and model optimization techniques.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate