Udemy Coupon: 100% discount for limited time from machine learning basics to advanced - Tech Beastz

A guide for beginners to learn machine learning (with hand-on projects – from basic to advanced level)

If you want to start your career Machine learning Then this is the course for you.

This course is designed in such a way that you can learn all the concepts of machine learning from basic to advanced level.

The course consists of 5 parts as follows:

1. Introduction and data wrangling in machine learning

2. Linear models, tree and preprocessing in machine learning

3. Model evaluation, feature selection and piping in machine learning

4. Beige, closest neighbors and clustering in machine learning

5. SVM, inconsistencies, unbalanced classes, integrated methods in machine learning

For the code explained in each lecture, you can find the GitHub link in the Resources section.

Who is teaching you in this course?

I am a professional trainer and consultant for C, C ++, Python, Java, Scala, Big Data Technologies – Scala Machine Learning and Deep Learning using PySpark, Spark – sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and distributed in corporates. Is. Such as GE, SCIO Health Analytics, Impetus, IBM Bangalore and Hyderabad, Redbus, Schnider, JP Morgan – Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS – Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach to ML.

Machine learning Equivalent to AI is the fuel needed to power the robot. With machine learning, we can enable new environments and programs that can be easily updated and modified to complete tasks faster and more efficiently.

Here are some reasons to pursue a career in machine learning:
1) Machine learning is the skill of the future – Despite the rapid growth in machine learning, there is a lack of skills in this area. If you can meet the demands of big companies by mastering machine learning, you will have a secure career in the growing technology.
2) Work on real challenges – Businesses in this digital age face many problems that machine learning promises to solve. As a machine learning engineer, you will work on real-life challenges and develop solutions that have a profound effect on how businesses and people thrive. Needless to say, a job that allows you to work and solve real-world conflicts offers high satisfaction.
3) Learn and grow – With machine learning booming, by entering this field early, you can witness the trends and keep increasing your relevance in the market, thus increasing your value for your employer.
4) Exponential career graph – All said and done, machine learning is still in its infancy. And as the technology matures and advances, you will have the experience and skills to follow the top graph of your career and interact with your ideal employers.
5) Build a rewarding career– The average salary of a machine learning engineer is one of the main reasons why many of us find machine learning a lucrative career. As the industry grows, this number can be expected to increase further as the years go by.
6) Side-steps in Data Science – Machine learning skills help you advance your career path. Machine learning skills can give you two caps- the other is that of a data scientist. Become a popular resource by mastering both areas at the same time and embark on an exciting journey filled with challenges, opportunities and knowledge.

Machine learning Currently happening. So, you want to get the early benefits of playing with solutions and technology. That way, when the time comes, you will find your skills in high demand and be able to secure a career path that is always growing.

Register now !! See you in class.

Happy learning
Team Edyoda

A guide for beginners to learn machine learning (with hands-on projects – from basic to advanced level)

This course is free. You will find the coupon below.

Note that these types of coupons last very short.

If the coupon has already expired, you can purchase the course as usual.

These types of coupons last very few hours, and even minutes after publication.

Due to the Udemy update there are now only 1,000 coupons available, we are not responsible if the coupon has already expired.

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