What you’ll learn
- Learn to program in Python and Scikit learn applied to Machine Learning regression
- Learn how to solve regression problems (linear regression and logistic regression)
- Learn the math behind decision trees
- Understand the theory underlying simple and multiple linear regression techniques
- Learn the theory and practical application of logistic regression with sklearn
- Learn about the different grouping algorithms
This course includes:
- 2.5 hours on-demand video
- 2 articles
- 15 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Description
To understand how organizations like Google, Amazon and even Udemy use the Machine Learning and Artificial Intelligence (AI) to extract the meaning and knowledge of huge data sets This Machine Learning course provides you with the essentials. According to Glassdoor and Indeed, data scientists earned an average salary of $ 120,000, and that’s just the norm!
When it comes to being attractive, data scientists already are. In a highly competitive job market, it is difficult to retain them once hired. People with one unique mix of scientific training, computer experience and analytical skills they are difficult to find.
Like the Wall Street “quants” of the 1980s and 1990s, today’s data scientists are expected to have a similar skill set. People with training in physics and mathematics went to investment banks and hedge funds at that time because they were able to devise novel algorithms and data methods.
That said, Data science is becoming one of the most suitable occupations for success in the 21st century. It is a computerized profession, based on programming and analytical in nature. Therefore, it is not surprising that the need for data scientists has worried the labor market in recent years.
The offer, on the other hand, has been quite restricted. It is a challenge to get the knowledge and skills necessary to be hired as a data scientist .
In this course, notations and math jargon are reduced to the basics, each topic is explained in plain language, making it easier to understand. Once you have the code in your hands, you can play with it and build on it. The emphasis of this course is in understanding and using these algorithms in the real world , not in a theoretical or academic context.
You will leave each video with a new idea that you can put into practice immediately.
All skill levels are welcome in this course, and even if you have no previous statistical experience, you can succeed!
Who this course is for:
- Anyone who wants to pursue a career related to Machine Learning
- Any Python programming enthusiast who wants to add “Machine Learning” to their knowledge
- Technologists curious to know how Machine Learning works in the real world
- Programmers looking to add Machine Learning to their skill set
How to Get this course FREE?
Get a 100% Discount On Udemy courses by clicking on the Apply Here Button. This Course coupon code is automatically added to the Apply Here Button.
Apply this Coupon: FESTIVEMANIA70 is applied (For 100% Discount)
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Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course for 100% Free. After that, you will get this course at a discounted price.
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