Javascript and Python Streamlit ML project based course

Learn to use HTML, CSS, Javascript to create projects such as games and quizzes, Python streamlit for Machine learning
What you'll learn
At the end of the course you will have great technical knowledge on HTML, CSS, Javascript and Python Streamlit
You will learn theoretical aspects on Javascript
You will be able to build projects using HTML, CSS and Javascript to develop games and quizzes
Learn Event Handlers and DOM manipulation in a project
Set Time Out and Set Interval in a project
Create Machine Learning projects webapp using Python Streamlit
Learn to use Panda for Data Analysis
Linear Regression and Matplotlib
Implement Scikit-Learn for Machine Learning Projects
Random Forest and Decision Trees
Requirements
None
Description
If you want to start learning Javascript or to apply HTML5, CSS3 and Javascript in a project to program or you already have some basic knowledge, then you are in the right place. This course gives you a chance to take your knowledge to the next level. You will start from very basics and learn to apply the skills in two different projects (Quiz and Game).
You will learn about the very basics of this language, like how to write JavaScript, what kind of syntax it has.
You will learn the following topics on Javascript theory:
Javascript Variables
Javascript Data Type
Javascript Function
Javascript Function Parameter
Javascript Return
Javascript Scope
Javascript Alert Confirm Prompt
Javascript Objects
Javascript Arrays
Javascript If Else statement
Javascript Switch Case
Javascript Maths Operators
Javascript Logical Operators
(More topics will be added in the future)
This is a fun, practical & project based course for all skill levels. The projects in this course are designed to get you building things using HTML5, CSS & JavaScript with no frameworks or libraries. Every project is built from scratch and has some kind of dynamic functionality.
Although this is a theoretical and project based course, I will still be explaining everything as I go. There are projects designed for you to complete in a few hours.
You should have some basic knowledge of HTML/CSS/JS. If you are brand new, this course is a mix of both with emphasis on Javascript theory and building two projects. The projects are end to end product.
You will learn to create two projects.
First project is Quiz. The following skills you will learn to implement in the project:
Choosing Random Numbers
User Interface
Calculating Answer (Algorithm)
Win and Lose condition
Progress Bar
Overlay
Animation
Second project is Whack a Mole game. The following skills you will learn to implement in the project:
Learn about ES6 syntax
Event listeners
How to control CSS styles and classes with JavaScript
What's the difference between setTimeout and setInterval
How to use clearInterval, difference between const and let variables
Regular JavaScript functions and ES6 arrow functions and much more.
Create a plugin that tracks, updates and stores high score. We will also talk about logical operators in JavaScript (OR/AND/NOT) and other fundamental vanilla JavaScript techniques and principles that are useful not only for games, but also for building websites, generative art
JavaScript DOM manipulation (build a simple game add-on that keeps track of high score)
Learn local storage browser objects and it's associated JavaScript methods.
The projects will help you better understand how JavaScript works, use these skills to level up as a Front end web developer and get one step closer to getting hired for your first coding job. Also, it is a good stepping stone before you start learning React, React native and Next.js
Are you ready to start your career in Machine learning and as a Data Scientist. This course will be your guide to learning how to use the power of Python and the libraries to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
It is a brilliant course where you will learn how to setup the project step by step from installation of python and the libraries to finished project. There are three projects that will allow you to use and implement supervise and unsupervise learning in the projects.
You will learn to create the following projects
1. Salary Predictor
2. Classification Webapp
3. BMI Calculator
This course will also allow you to utilise and implement several Machine learning libraries to these projects. The list are:
Streamlit
KNN Clustering
SVM
Numpy
Pandas
MatplotLib
Scikit-Learn
Furthermore, you will be able to assess your knowledge through doing a quiz on Streamlit and Machine Learning. Also, a challenge is set to create a BMI calculator. Solutions are given in text form and video for explanation.
So I invite you to join me, Developer Shack on an exciting journey into unlocking the secrets of Machine Learning for Data Science.
Sign up right now, and let's create amazing Machine learning apps!
Who this course is for
Web developer enthusiasts
Game developer enthusiasts
Machine learning students
Data Scientists students
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