Interactive Machine Learning Algorithm Guide

I am looking for an experienced individual to help me create an interactive web platform that will serve as a guide to various types of machine learning algorithms. The purpose of this guide is to cater to beginners and intermediate level practitioners who have a basic understanding of programming concepts. The ideal candidate for this job would have: - A strong understanding of machine learning algorithms and their practical applications - Experience in creating interactive web platforms - The ability to simplify complex concepts for a beginner audience - Good programming skills, as some technical programming knowledge will be required for creating the interactive elements Key requirements for the interactive web platform include: - Clear, concise explanations of various machine learning algorithms - Interactive elements such as quizzes, exercises, and visual demonstrations to enhance the learning experience - User-friendly design that is accessible and engaging for beginners - The ability to track user progress and provide feedback If you have a passion for teaching and a strong background in machine learning, I would love to hear from you. Please provide examples of similar work you have done in the past. #Machine Learning Algorithms# -Linear regression -Logistic regression -Decision tree -SVM algorithm -Naive Bayes algorithm -KNN algorithm -K-means -Random forest algorithm -Dimensionality reduction algorithms -Gradient boosting algorithm and AdaBoosting algorithm #Types of Machine Learning Algorithms# -Supervised Learning -Unsupervised Learning -Semi-supervised Learning -Reinforcement Learning I need totally 14 article. Each article must consist of 1500 words. Python should be preferred as the programming language. A minimum of two-three images should be used to support each article. Also each article should be a guide for people new to Machine Learning. You can find the datasets to be used for these articles from the link below: [login to view URL]