Python for Machine Learning: The Complete Beginner's Course | Free Udemy Course
Learn to create machine learning algorithms in Python for students and professionals | Free Udemy Course
- 2.5 hours hours of on-demand video
- 1 article
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
- 16 additional resources
To understand how organizations like Google, Amazon, and even Udemy use machine learning and artificial intelligence (AI) to extract meaning and insights from enormous data sets, this machine learning course will provide you with the essentials. According to Glassdoor and Indeed, data scientists earn an average income of $120,000, and that is just the norm! When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.In this course, mathematical notations and jargon are minimized, each topic is explained in simple English, making it easier to understand. Once you've gotten your hands on the code, you'll be able to play with it and build on it. The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. You'll walk away from each video with a fresh idea that you can put to use right away!All skill levels are welcome in this course, and even if you have no prior statistical experience, you will be able to succeed!Who this course is for:Anyone who want to pursue a career in Machine LearningAny Python programming enthusiast willing to add machine learning proficiency to their portfolioTechnologists who are curious about how Machine Learning works in the real worldProgrammers who are looking to add machine learning to their skillset
Course Content:
Sections are minimized for better readability, click the section title to view the course content
JOIN OUR WHATSAPP GROUP TO GET LATEST COUPON AS SOON AS UPDATED
JOIN WHATSAPPJOIN OUR TELEGRAM CHANNEL TO GET LATEST COUPON
JOIN TELEGRAMJOIN OUR FACEBOOK GROUP TO GET LATEST COUPON
JOIN FACEBOOKFree Online Tools And Converters for your use
URL Encoder
Input a string of text or a URL and encode the entered string
Try itURL Decoder
Input an encoded string of text or a URL and decode the entered string
Try itColor Contrast Checker (WCAG)
Calculate the color contrast ration for your website (WCAG)
Try itXML Formatter
Paste or upload an XML and have it formatted to a beautiful XML format
Try itURL Slug Generator
Convert any title or sentence into a variety of slugs for your pages URL
Try itE-Signature
Draw an e-signature or type a signature for your online signature
Try it