If you are looking to learn machine learning then you have landed on the correct page, today I’m going to share you with an amazing ML course on Udemy name Machine Learning Masterclass 3 Course in 1.
This course on Udemy is worth around 12,800 INR, but today you can get this course for absolutely free with the help of a coupon that I’m going to share with at the end of this article.
In this course, you will start with a quick introduction to machine learning and this will not be very deep in a mathematical sense but it will have some amount of mathematical trigger.
This machine learning course will cover different paradigms of machine learning and with special emphasis on classification and regression tasks and also will introduce you to various other machine learning paradigms.
For a general idea, this ML course will teach you about various different concepts like parameter learning, logistic regression model, neural networks, application of neural networks, cost function and much more.
Another reason to choose this course for machine learning is that the course is very well structured and organized, the quality of content is good, language is easy to understand and interpret.
The only prerequisites that are required for this machine learning course are the little understanding and knowledge of programming languages like R and Python and little basics about mathematics.
This free machine learning course will teach you how to recognize the relative impact of data quality and size to algorithms, set informed and realistic expectations for the time to transform the data.
This course will also explain to you a typical process for data collection and transformation within the overall ML workflow, how to collect raw data and how to construct a data set, and split your dataset with considerations for imbalanced data and about transform numerical and categorical data.
This course will teach you about what is linear algebra and how it relates to data, what are vectors and matrices and how to work with them and use them for data fitting.
The other things this Machine Learning will cover be the input and output of a classification model, tackle both binary and multi-class classification problems, implement a logistic regression model for large-scale classification.
Topics that these machine learning course will cover include:
(i) Supervised learning, parametric and non-parametric algorithms, support vector machines, neural networks.
(ii) Unsupervised learning clustering, dimensionality reduction, recommender systems, deep learning.
(iii) Best practices in machine learning -bias/variance theory, innovation process in machine learning and AI.
With this machine learning course, you will become familiar with the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting.
Machine learning has a broad array of applications, including ad targeting, spam detection, medical diagnosis, and image classification. This machine learning course will teach you how to create classifiers that provide state-of-the-art performance on a variety of tasks.
It will also teach you how to create a non-linear model using decision trees, improve the performance of any model using boosting and how to scale your methods with stochastic gradient ascent.
In addition to this, you will be able to design and implement the underlying algorithms that can learn these models at scale, using a stochastic gradient ascent.
After finishing this machine learning course you will be able to implement and constrict various different and complex models from scratch, you can also be able to solve the complex errors in machine learning.
Over more than 15,673 students have enrolled in this course.
Here is the link of course: Machine Learning Masterclass 3 Course in 1
Now In order to get the course free use the coupon code: FREE22
Other Free Courses :
More in AI