Classification Algorithms Courses and Certifications

Career Certificate

Implementing AI Algorithms from Scratch

327 ratings at CodeSignal

Master the fundamentals of AI by implementing machine learning algorithms from scratch, covering regression, classification, optimization, ensemble methods, clustering, and neural networks with hands-on coding.

• CodeSignal
• 21 hours
• Self-Paced
• Free Certificate
• 6 courses

BSidesLV

Repurposing Vulnerability Tickets to Predict Severity Levels - An Introduction to Natural Language Processing and Classification Algorithms

Explore natural language processing and classification algorithms to predict vulnerability severity levels using ticket data, enhancing cybersecurity decision-making and resource allocation.

• YouTube
• 48 minutes
• Self-Paced
• Conference Talk

Career Certificate

Implementing AI Algorithms from Scratch

67 ratings at CodeSignal

Master the fundamentals of AI by implementing algorithms from scratch - from regression and gradient descent to neural networks, covering classification, ensemble methods, and unsupervised learning techniques.

• CodeSignal
• Self-Paced
• Free Certificate
• 6 courses

Building a Neural Network in PyTorch

Master PyTorch neural networks from scratch - build, train, and evaluate models through hands-on examples covering network architecture, sequential models, training loops, and performance metrics.

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

Career Certificate

Comprehensive Introduction to Tensorflow

Master TensorFlow fundamentals through hands-on practice, from basic tensor operations to advanced neural networks, model optimization, and deployment techniques for building efficient deep learning solutions.

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

Building a Neural Network in TensorFlow

Master TensorFlow fundamentals and build neural networks through hands-on coding. Create, train, and evaluate models for binary classification while learning essential concepts like layers, activation functions, and predictions.

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

Feature Engineering with Pandas and LightGBM

Master feature engineering with Pandas and LightGBM by diagnosing weak predictors, applying transformations, creating binary flags, ratios, and interaction features to boost predictive model performance.

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

Career Certificate

Hands-on Approaches to Handling Data Imbalance

Master techniques for handling imbalanced datasets through data preparation, advanced resampling methods, specialized algorithms, and proper evaluation metrics to build robust ML models.

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

Classification Algorithms

This course introduces common classification techniques and algorithms in order to predict the value of the class label based on the features in the dataset. We will discuss four different classificat

• INE
• 4 hours
• Self-Paced
• Paid Course

Data Science : Complete Data Science & Machine Learning

3566 ratings at Udemy

Learn and master the Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science

• Udemy
• 1 day 1 hour 49 minutes
• Self-Paced
• Paid Course

Coursera

Data Science Challenge

220 ratings at Coursera

Compete in a 72-hour data science challenge to build a predictive model using Python. Top performers earn badges, course access, and showcase opportunities for potential employers.

• Coursera
• 3 hours 20 minutes
• Self-Paced
• Paid Course

Regression and Classification

16 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 50 minutes
• Self-Paced
• Paid Course

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 59 minutes
• Self-Paced
• Paid Course

Data Analysis with Python Project

Comprehensive exploration of data analysis techniques, from classification to outlier detection, empowering learners to conduct real-world projects and make data-driven decisions.

• Coursera
• 18 hours 11 minutes
• Self-Paced
• Paid Course

Neural Networks in Python: Deep Learning for Beginners

1839 ratings at Udemy

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

• Udemy
• 9 hours 21 minutes
• Self-Paced
• Paid Course