
In this video, I have explained what are the things I have covered in the whole Machine learning course. Please have a look at this once. If these requirements meet your needs feel free to join the course.
This is the first introductory video of Machine Learning. In this, I have clearly explained what is machine learning what are its impacts on industries and humans and how it's changing the world. Some of the Key Concepts covered as follows:
What is Machine Learning?
General Introduction of Neural Network or Main Idea behind the Machine Learning.
Scope of Machine Learning?
Real-Time Application of Machine Learning
Discover the three main types of machine learning: supervised learning with labeled data for classification and regression, unsupervised learning with clustering and association, and reinforcement learning through trial and error.
Implement supervised learning with a single-variable linear regression to predict house prices from size. Build data in Excel, load it in Python via notebooks, fit a model, and make predictions.
Learn, in three steps, how to teach a machine to add two numbers by building a training dataset, extracting features and labels, and using linear regression to predict sums.
This course is especially for beginners who want to get started their journey in the field of machine learning. This course provides the hands-on experience with the python and scikit learn. So if you are new to the machine learning Get started with this course will be a good choice.