(More subjects will follow shortly.)
Even though this is a theoretical and project-based course, I'll still explain every aspect of the course. Some projects are done for you to finish in just a few hours.
Learn how to design two different projects.
The first project you will work on is a Quiz. The following skills will you learn to apply to the course:
Selecting random Numbers
The Calculating Solution (Algorithm)
Win or lose condition
The second assignment will be Whack a Mole game. The following skills will be mastered within the game:
Learn more about ES6 syntax
What is the difference between setTimeout vs. setInterval?
ClearInterval: How to use it, the distinction between const and variables
Are you ready to begin with your new career path in Machine learning? Or as Data Scientist. This course is your guide on how to harness the capabilities of Python and the Python libraries to analyze data, build beautiful visualizations, and utilize the most powerful algorithms for machine learning!
This is an excellent course in which you'll learn how to set up your project step by step, from installing Python and libraries to the finished project. Three projects let you use and manage, supervise, and unsupervised learning through the projects.
You will be taught how to design the following kinds of projects:
1. Salary Predictor
2. Classification Webapp
3. BMI Calculator
This course will also enable students to use and apply many Machine learning libraries in these projects. The following are the libraries:
Learn about Event Handlers as well as the manipulation of DOM in the context of a project
Establish Time Out as well as the Interval for the project
Develop Machine Learning projects web app using Python Streamlight
Learn how to make use of Panda to perform Data Analysis
Linear Regression as well as Matplotlib
Use Scikit-Learn to implement Machine Learning Projects
Random Forests and Decision Trees
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