Udemy Machine Learning Courses List

This course provides an introduction to Machine Learning and Artificial Intelligence using Python, covering topics such as Data Science, Data Analysis, and Deep Learning. Gain the skills to apply these concepts to real-world problems. View all

Using Meeshkan and AWS, this tutorial will guide you through the process of setting up and running a Machine Learning problem. Gain the skills to plan, deploy and run your own ML project. View all

Machine Learning is a powerful tool for data analysis and prediction. It can be used to identify patterns in data, make predictions, and automate decisions. This course provides an overview of the three main types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning. Learn how to apply these techniques to real-world problems and gain valuable insights. View all

This course introduces learners to supervised Machine Learning, specifically the classification modeling family. Offered by IBM Skills Network, this free course provides an overview of the fundamentals of Machine Learning. View all

In 2022, machine learning beginners can learn the fundamentals of model building and deployment with a practical approach. View all

CatBoost is a powerful machine learning algorithm for classification and regression tasks. This online course provides a quick introduction to CatBoost and a comparison to XGBoost, allowing readers to gain an understanding of the basics of modeling with CatBoost in Python. View all

This Machine Learning Book Classification course teaches you how to use Python Pandas to load a dataset, build a supervised machine learning model, save the model and vectorizer to disc using Pickle, and deploy the model using Django. Learn the skills you need to create powerful machine learning models and applications. View all

Kubeflow Training and Certification is available free of charge, providing an introduction to the fundamentals of the Kubeflow platform. Participants will gain an understanding of the core concepts and components of Kubeflow. View all

Learn how to use Microsoft Azure to become a data science and machine learning expert. With Power BI, Power Query, and Python, you can create visualisations, clean data, and create advanced charts and analyses. Plus, use Azure cloud for Text Analytics and create machine learning instances for computer vision. Take your data science and machine learning skills to the next level with Microsoft Azure. View all

Developers can use Apple's Core ML framework to create iOS apps with intelligent features. This course provides an introduction to the fundamentals of machine learning and how to use Core ML to build apps. View all

This free online course from Udacity provides an introduction to machine learning using Microsoft Azure. In two months, participants will gain practical, in-demand tech skills and a better understanding of the Azure platform. View all

Stanford University offers a course in Machine Learning, which focuses on teaching computers to act without explicit programming. This course provides an introduction to the field of Machine Learning and its applications. View all

This course provides a comprehensive overview of Deep Learning techniques. Learn to understand the intuition behind Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Self-Organizing Maps, Boltzmann Machines, and AutoEncoders. Gain hands-on experience applying these techniques in practice. Take your Deep Learning skills to the next level with this comprehensive course. View all

Discover the power of Data Science with this comprehensive A-Z course! Learn how to successfully perform all steps in a complex Data Science project, create Tableau visualisations, apply statistical tests, and more. Gain the skills to interpret statistical software output, create robust models, and derive business insights. Plus, learn how to use SQL Server and SQL to complete Data Science projects. Start your journey today! View all

Learn how to solve real-world problems using the Linear Regression technique in this Machine Learning Basics course. Get an in-depth understanding of data collection and preprocessing for Machine Learning Linear Regression problems, and learn to interpret the results of Linear Regression models. Discover advanced variations of the OLS method and gain the skills to convert business problems into Machine Learning Linear Regression problems. View all

Learn how to solve real-world problems using the Linear Regression technique. Get an in-depth understanding of data collection and preprocessing for Machine Learning Linear Regression problems. Discover advanced variations of the OLS method of Linear Regression. This course contains an end-to-end DIY project to implement your learnings from the lectures. Start your Machine Learning journey here! View all

This course provides an in-depth look at Deep Learning with TensorFlow in Python. Learn to create your first algorithm, get acquainted with Google's TensorFlow, explore layers and activations, understand the backpropagation process, spot and prevent overfitting, and implement cutting-edge optimizations. Master the fundamentals of Deep Learning and become a TensorFlow expert. View all

Learn supervised machine learning in Python with this comprehensive course! Explore K-Nearest Neighbor, Naive Bayes Classifier, Decision Tree, and Perceptron algorithms. Discover hyperparameters, cross-validation, feature extraction, feature selection, and multiclass classification. Plus, learn to write a web service that runs a machine learning model and makes predictions. View all

This course is designed to help you quickly learn the fundamentals of Machine Learning, Natural Language Processing & Python. From 0 to 1, you'll learn supervised/unsupervised learning, classification, clustering, association detection, anomaly detection, dimensionality reduction, regression, Naive Bayes, K-nearest neighbours, support vector machines, artificial neural networks, K-means, hierarchical clustering, principal components analysis, linear regression, logistics regression, random variables, Bayes theorem, bias-variance tradeoff, corpora, stopwords, sentence and word parsing, auto-summarization, sentiment analysis, TF-IDF, document distance, text summarization, text classification, decision trees, overfitting, ensemble learning, random forests, content based filtering, collaborative filtering, association rules learning and more. Learn why it's useful and how to apply it to real-world problems. View all

Explore the essentials of Welcome to Artificial Intelligence ! View all

Discover the fundamentals of Getting Started with Machine Learning View all

Get a comprehensive overview of Machine Learning with Python View all

Learn the basics of Find Actionable Insights using Machine Learning and XGBoost View all

Get a comprehensive overview of Learn To Predict Breast Cancer Using Machine Learning View all

Explore the essentials of Build RealWorld MachineLearning Projects With Python In 2023 View all

Get a comprehensive overview of Essentials of Machine Learning View all

Learn the basics of Hands-on Machine Learning for Stock Trading [Python] View all

Discover the fundamentals of Theoretical concepts of Machine Learning View all

Gain an introduction to Machine Learning through Case Studies for Beginners View all

Explore the essentials of Association Mining for Machine Learning View all

Learn the basics of Beginners Guide to Machine Learning - Python, Keras, SKLearn View all

Explore the essentials of Introduction to Machine Learning in PHP View all

Discover the fundamentals of Build AI Plant Classification App in Android (30 Minutes!) View all

Explore the essentials of Googles' Teachable Machine - No Math, No Code View all

Learn the basics of Understanding Machine Learning View all

Get a comprehensive overview of Introduction to Machine Learning View all

Discover the fundamentals of Logistic Regression for Text Classification View all

Explore the essentials of Tasting Machine Learning with Minitab Predictive Analytics View all

Discover the fundamentals of How to enter a Kaggle community competition View all

Learn the basics of Machine Learning for beginners View all

Gain a deeper understanding of machine learning through reinforcement learning research. Join the community of experts and become a part of the reinforcement learning research field. View all

Explore the essentials of Applying Hugging Face Machine Learning Pipelines in Python - Learn Interactively View all

Explore the essentials of Machine Learning in Python (Data Science and Deep Learning) View all

Discover the fundamentals of Introduction to Machine Learning for Data Science View all

Explore the essentials of Digishock 2.0: Machine Learning for Beginners (No Coding) View all

Explore the essentials of Bayesian Machine Learning in Python: A/B Testing View all

Explore the essentials of Cluster Analysis and Unsupervised Machine Learning in Python View all

Explore the essentials of The Complete Machine Learning Course with Python View all

Explore the essentials of Amazon AWS SageMaker, AI and Machine Learning with Python Course View all

Gain an introduction to Ensemble Machine Learning in Python: Random Forest, AdaBoost View all