Machine Learning for beginners with python: From zero to hero #1

Full machine learning course for beginner to advance (from zero to hero in machine learning) with PYTHON.
Python is one of the most important programming language in the last 10 years, and there are hundreds of libraries and tools that are support the machine learning, deep learning with Keras and Tensorflow.
The Future is artificial intelligence (Ai), so get ready and start learning machine learning with Python now...

IRIS dataset link below

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.

For each major algorithm that we cover, we will discuss the high level intuitions of the algorithms and how they are logically meant to work. Next, we'll apply the algorithms in code using real world data sets along with a module, such as with Scikit-Learn. Finally, we'll be diving into the inner workings of each of the algorithms by recreating them in code, from scratch, ourselves, including all of the math involved. This should give you a complete understanding of exactly how the algorithms work, how they can be tweaked, what advantages are, and what their disadvantages are.

This complete Machine Learning Tutorial video covers all the topics that you need to know to become a master in the field of Machine Learning. This Machine Learning Full Course covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression, K Means Clustering, Decision Tree, and Support Vector Machines are some of the important algorithms you will understand with a hands-on demo. Finally, you will see the essential skills required to become a Machine Learning Engineer and come across a few important Machine Learning interview questions. Now, let's get started with Machine Learning.