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This course has all the basics you have to understand to ace HTML5. With this course, students will gain tools explanation that need for .html components, headings paragraphs, editors, records types, quotations, and comments, blocks div and span, tables, forms, media audio, and video, semantic layouts, SVG, Canvas, and a lot more in HTML5.

Python® has been around for a considerable length of time and it's as yet one of the most popular and versatile languages for programming out there.

Python® keeps on being a well-known programming language, possibly because of its capacity to complete a ton of work in a few lines of code, and its flexibility.

A cloud-enabled organization exploits new, disruptive cloud patterns and benefits to deliver next generation systems and services. Building a cloud-enabled enterprise requires more than implementing cloud technologies and procuring cloud services. Web-based systems are preferred to enable anywhere, anytime access.

In this course, the understudies gain proficiency with the core ideas of the program structure of C#, implementation details, language syntax, and afterward unite their insight as they develop a true application of graphics.

This course shows the understudies to build up the fundamental programming aptitudes that are required for designers to make the applications of Windows utilizing the language of C#.

Learn to install, implement various components of Hadoop like Pig, Hive, Flume, Sqoop and YARN.

This course is aserious guide to Java programming for everyone

Even though Google Cloud Platform is not the most famous cloud service in the present day, it is for sure the best platform that offers support for high-end machine learning applications.

This course adopts a totally real strategy to apply systems of Machine Learning to Quant Trading.

Home Automation projects: Measuring Distance, Measuring Light Intensity, Controlling switches with sensors, Controlling switches over local and external networks.

Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff