Classification Courses and Certifications

Microcredential

AI ML with Deep Learning and Supervised Models

11 ratings at Coursera

Master AI fundamentals, build neural networks, and implement advanced models like RNNs and LSTMs. Gain practical skills in supervised and unsupervised learning while exploring ethical considerations and industry applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

EDUCBA

Machine Learning with Python: Build & Optimize

11 ratings at Coursera

Master Python-based machine learning by building, evaluating, and optimizing models with NumPy, Pandas, Matplotlib, and scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 14 minutes
• On-Demand
• Paid Course

Microcredential

Practical Machine Learning: Foundations to Neural Networks

Master probability, statistics, and neural networks to build rigorous machine learning models from linear regression to deep learning applications.

• Coursera
• 12 weeks, 8 hours a week
• On-Demand
• Paid Course
• 3 courses

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• On-Demand
• Paid Course

Machine Learning

Master Python-based machine learning from fundamentals to deep learning, covering scikit-learn, TensorFlow, neural networks, and real-world applications with text and image data.

• Coursera
• 1 day 12 hours 2 minutes
• On-Demand
• Paid Course

Statistical Learning

Explore cutting-edge statistical analysis techniques, from regression to advanced methods like kernel smoothing and support vector machines. Enhance data interpretation skills with hands-on Python examples.

• Coursera
• 4 days 18 hours 15 minutes
• On-Demand
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• On-Demand
• Paid Course

Supervised Learning and Its Applications in Marketing

Learn to apply supervised learning techniques in marketing using Python, focusing on customer segmentation, churn prediction, recommendation systems, and predictive modeling to drive data-driven business decisions.

• Coursera
• 21 hours 53 minutes
• On-Demand
• Paid Course

Whizlabs

AWS: Machine Learning & MLOps Foundations

Master foundational ML concepts, model evaluation, and MLOps using AWS services like SageMaker to build end-to-end workflows and prepare for MLA-C01 certification.

• Coursera
• 5 hours 48 minutes
• On-Demand
• Paid Course

Coursera

Landing.AI for Beginners: Build Data Visualization AI Models

Explore visual prompting and build AI models for object detection, segmentation, and classification using LandingLens. Gain hands-on experience in data labeling, training, and deploying models on cloud and edge devices.

• Coursera
• 2 hours 52 minutes
• On-Demand
• Paid Course

Predictive Analytics

Discover how to transform enterprise data into actionable business intelligence using decision trees, neural networks, market basket analysis, and discriminant analysis tools.

• Coursera
• 2 days 7 hours 46 minutes
• On-Demand
• Paid Course

Predictive Analytics and Forecasting

Master predictive analytics tools including regression, classification, clustering, and forecasting to make data-driven business decisions and uncover customer behavior patterns.

• Coursera
• 2 days 15 hours 37 minutes
• On-Demand
• Paid Course

UC Berkeley Microcredential

Foundations of Data Science

Develop computational thinking, inferential reasoning, and machine learning skills using Python to analyze diverse datasets and make data-driven decisions in various fields.

• edX
• 16 weeks, 4-6 hours a week
• On-Demand
• $597.00
• 3 courses

Edureka

Applied Machine Learning with Python

Master practical machine learning with Python, from supervised and unsupervised algorithms to recommendation systems. Build classification models, implement regression, and create clustering solutions through hands-on exercises.

• Coursera
• 14 hours 19 minutes
• On-Demand
• Paid Course

Packt

Advanced Machine Learning and Deep Learning

Master advanced machine learning and deep learning techniques, from neural networks to CNNs and RNNs. Apply knowledge through hands-on labs, covering regression, classification, and specialized topics like autoencoders and transfer learning.

• Coursera
• 7 hours 22 minutes
• On-Demand
• Paid Course