Machine Learning Courses and Certifications

EDUCBA

Machine Learning Projects in R with Caret

Master hands-on machine learning workflows in R using caret package through real-world projects covering data preprocessing, missing value handling, and clustering techniques.

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

Packt

Machine Learning with R

Master machine learning in R, from data prep and classification to deep learning and big data with Spark, Hadoop, Keras, and TensorFlow for real-world applications.

• Coursera
• 1 day 9 hours 10 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Predict Shipping Time Using Machine Learning

Master machine learning techniques to analyze shipping data, predict delivery times, and forecast demand for logistics optimization.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

Advanced Machine Learning, Neural Networks, and NLP

Master advanced ML techniques, neural networks, and NLP—covering supervised learning, deep learning architectures, and text processing—to build sophisticated models for real-world AI and data science challenges.

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

Edureka

Applied Machine Learning Without Coding

Master machine learning fundamentals and build regression/classification models using Orange Data Mining's visual interface—no coding required for data professionals.

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

EDUCBA

Octave Machine Learning: Apply, Analyze & Build

Master advanced Octave programming for machine learning with hands-on data analysis, control structures, and time-series handling techniques.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning Product Management - Strategy to Deployment

Master machine learning product management, from ideation to deployment. Learn to structure ML teams, select algorithms, prepare data, and monitor models in production—no prior technical experience required.

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

Data Processing, Machine Learning, and Model Evaluation

Master data processing, machine learning modeling, and evaluation techniques—covering encoding, normalization, bias-variance trade-off, hyperparameter tuning, and MLOps deployment strategies for real-world applications.

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

6.036 Introduction to Machine Learning

This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction.

• Independent
• Self-Paced
• Free Online Course

Packt

Customer Insights and Personalization with Machine Learning

Explore how machine learning drives customer insights and personalization, covering sentiment analysis, A/B testing, recommendation systems, and segmentation to boost engagement and retention.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

IBM Machine Learning

Comprehensive program covering key machine learning types, algorithms, and applications. Develop practical skills using open-source frameworks for a career in AI and data science.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 6 courses

Fundamentals of Programming and Machine Learning

Master Python, data analytics, and machine learning fundamentals, gaining hands-on experience with how code, data, and ML models actually work.

• MITx Online
• Self-Paced
• Free Online Course

Machine Learning Basics Camp (Ages 12-18) (Live Online)

Unlock the magic of data with Machine Learning Basics Camp—a hands-on adventure for ages 13–18 where students explore Python, dive into real-world data, and build their own machine-learning models.

• CourseHorse
• 15 hours
• Self-Paced
• $399.00

Machine Learning using Python

838 ratings at Udemy

(With Practice Labs) Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python

• Udemy
• 18 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning Real World projects in Python

940 ratings at Udemy

Build a Portfolio/Resume of Machine Learning projects in Python and get a job of Data Scientist/ ML Engineer

• Udemy
• 13 hours 43 minutes
• Self-Paced
• Paid Course