Machine Learning Courses and Certifications

Fractal Analytics

Foundations of Machine Learning

14 ratings at Coursera

Demystify machine learning fundamentals, build models, analyze data, and apply strategies to real-world scenarios. Gain practical skills for data-driven decision-making and problem-solving.

• Coursera
• 1 day 1 hour 5 minutes
• Self-Paced
• Paid Course

Machine Learning Classification Bootcamp in Python

1059 ratings at Udemy

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn

• Udemy
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Machine Learning for Kyphosis Disease Classification

13 ratings at Coursera

Predict kyphosis using diagnostic features in this practical healthcare project. Enhance your portfolio and job prospects with hands-on experience in machine learning.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

AI Driven Machine Learning with Python

13 ratings at Coursera

Master AI-driven machine learning through hands-on Python projects, from data preprocessing to model deployment, with real-world applications in healthcare and image detection.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Machine Learning with Python & Statistics

13 ratings at Coursera

Master probability, sampling, distributions, and statistical testing to build machine learning models with Python and validate results through hypothesis testing and linear algebra.

• Coursera
• 13 hours 9 minutes
• Self-Paced
• Paid Course

EDUCBA

Learn & Build Machine Learning Models with Python

13 ratings at Coursera

Discover how to build and evaluate machine learning models using Python, NumPy, Pandas, and Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 39 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

• Coursera
• 20 hours 43 minutes
• Self-Paced
• Paid Course

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

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

Coursera

Build a Machine Learning Image Classifier with Python

11 ratings at Coursera

Build a machine learning image classifier using Python and Colab. Learn to load, preview, process, and normalize data, then train and test your model in this hands-on project.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Masterclass Testing Machine Learning (AI) Models

1050 ratings at Udemy

Gain basic understanding how to test Foundation Models, LLMs, Chatbots and AI bases systems.

• Udemy
• 13 hours 23 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Machine Learning, Data Science and Generative AI with Python

6 ratings at Coursera

Master machine learning, data science, and generative AI using Python. Build models with TensorFlow, work with big data using Spark, and deploy real-time AI systems ethically.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Machine Learning Deep Learning Model Deployment

1005 ratings at Udemy

Serving TensorFlow Keras PyTorch Python Flask Serverless REST API MLOps MLflow NLP Generative AI OpenAI GPT Copilot

• Udemy
• 6 hours 34 minutes
• Self-Paced
• Paid Course

Career Certificate

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

Foundations for Machine Learning

Master essential probability distributions and Bayesian vs frequentist perspectives to build a strong mathematical foundation for machine learning and data science applications.

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