Clustering Courses and Certifications

Machine Learning: Concepts and Applications

25 ratings at Coursera

Comprehensive introduction to machine learning theory and practice using Python. Learn data preparation, modeling techniques, and evaluation methods with real-world datasets, focusing on practical applications and conceptual understanding.

• Coursera
• 1 day 13 hours 39 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn For Machine Learning Classification Problems

19 ratings at Coursera

Learn to build and train classifier models using Scikit-Learn, exploring algorithms for classification, regression, and clustering, including support vector machines, random forests, and k-means.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Packt

Kubernetes for Beginners

19 ratings at Coursera

Master Kubernetes fundamentals, deploy applications, and manage clusters efficiently. Learn pod creation, rolling updates, YAML configurations, and advanced topics for real-world scenarios.

• Coursera
• 5 hours 40 minutes
• Self-Paced
• Paid Course

EDUCBA

AI & Predictive Analytics with Python

19 ratings at Coursera

Master AI and predictive analytics using Python, from ensemble methods and clustering to supervised learning, logic programming, and NLP with hands-on real-world applications.

• Coursera
• 11 hours 21 minutes
• Self-Paced
• Paid Course

EDUCBA

Elasticsearch: Build, Query & Optimize with ELK

18 ratings at Coursera

Master Elasticsearch fundamentals through advanced APIs, building custom analyzers, optimizing queries, and managing distributed data with ELK Stack integration.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

EDUCBA

Understand and Apply Artificial Intelligence Fundamentals

18 ratings at Coursera

Explore AI fundamentals from core concepts to machine learning and reinforcement learning techniques for intelligent decision-making systems.

• Coursera
• 5 hours 58 minutes
• Self-Paced
• Paid Course

Career Certificate

AI ML with Deep Learning and Supervised Models

12 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/week
• Self-Paced
• Paid Course
• 3 courses

EDUCBA

Machine Learning with Python: Build & Optimize

12 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
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Evaluate Predictive ML Models

12 ratings at Coursera

Master PySpark's MLlib to build, evaluate, and deploy scalable regression, classification, and clustering models using distributed computing for real-world data analytics.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Machine Learning in Healthcare: Fundamentals & Applications

11 ratings at Coursera

Explore data mining in healthcare, from theoretical foundations to practical applications. Learn to select methods, use software, and address real-world challenges in data cleaning, transformation, and modeling.

• Coursera
• 18 hours 23 minutes
• Self-Paced
• Paid Course

Advanced Tools and Techniques for Data Analysis (Live Online)

8 ratings at CourseHorse

Discover how to pull valuable insights from complex data sets and solve real-world business problems through the Advanced Tools and Techniques for Data Analysis course.

• CourseHorse
• 15 hours
• Self-Paced
• $2,845.00

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Data Preparation and Analysis

Comprehensive data analysis course covering preparation, visualization, statistical techniques, and machine learning models. Emphasizes practical skills in Python for extracting insights and building professional-grade solutions.

• Coursera
• 3 days 7 hours 41 minutes
• Self-Paced
• Paid Course

Foundations for Data Analytics Part 1

Discover Python fundamentals, data structures, and analytics techniques including clustering, time series analysis, and data wrangling for real-world applications.

• Coursera
• 16 hours 58 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 1

Explore supervised and unsupervised machine learning algorithms, from linear regression to SVMs, with hands-on Python implementation for real-world engineering applications.

• Coursera
• 1 day 11 hours 38 minutes
• Self-Paced
• Paid Course