Free online courses:

Machine Learning with Python: From Linear Models to Deep Learning:

Machine learning is a subfield of artificial intelligence that uses algorithms to learn patterns from data and make predictions or decisions without explicit instructions. Python is a popular programming language for machine learning, and there are a number of powerful libraries and frameworks available for it, such as scikit-learn, TensorFlow, and PyTorch.

Linear models, such as linear regression and logistic regression, are a type of machine learning algorithm that make a prediction using a linear function of the input features. These models are simple and fast to train, but may not be able to capture more complex patterns in the data.

Deep learning is a subfield of machine learning that uses neural networks with many layers (hence "deep") to learn representations of the data. These models are able to learn more complex patterns than linear models and have been successful in a wide range of applications, such as image recognition and natural language processing.

There are many tutorials and resources available online to help you get started with machine learning in Python, regardless of your level of experience. Some popular online platforms like Coursera, edX, and Udemy offer specialized courses that can help you develop a deep understanding of the subject.

There are many free online courses that cover the topic of Machine Learning with Python, from Linear Models to Deep Learning. These courses typically provide an introduction to the basic concepts and techniques of machine learning, as well as hands-on experience working with real-world datasets and implementing machine learning algorithms in Python.

Some examples of free courses that cover this topic include:

Introduction to Machine Learning with Python on Coursera. This course is offered by the University of Washington and covers the basics of machine learning, including supervised and unsupervised learning, and provides an introduction to sci-kit-learn, a popular Python library for machine learning.

Machine Learning Crash Course with TensorFlow APIs on Google Developers. This course is offered by Google and covers the fundamentals of machine learning, including linear models and neural networks, using TensorFlow, a powerful open-source library for machine learning.

Machine Learning A-Z on Udemy: This course covers all the important concepts of Machine Learning. It starts with the supervised and unsupervised learning models like Linear and Logistic Regression and goes to the deep learning concepts like CNNs and RNNs using Python and the libraries like Tensorflow and Keras.

Machine Learning with Python: from Linear Models to Deep Learning on edX: This course is provided by IBM and provides an introduction to machine learning in Python, and covers linear models, as well as neural networks and deep learning.

All these courses are available on the respective websites as self-paced and you can start learning anytime. They are free to enroll and they offer certificates upon successful completion of the course, but you have to pay a fee to have the certificate.

On edX, there are several free courses that cover the topic of Machine Learning with Python, from Linear Models to Deep Learning. These courses typically provide an introduction to the basic concepts and techniques of machine learning, as well as hands-on experience working with real-world datasets and implementing machine learning algorithms in Python.