Dive into the world of Machine Learning with this hands-on tutoring series designed to equip you with the foundational skills and techniques to build models using Python. Whether you're a beginner or have some coding experience, this series will guide you through key concepts such as supervised and unsupervised learning, data preprocessing, model evaluation, and more. With Python as our tool of choice, you'll learn to implement algorithms like linear regression and neural networks. By the end, you’ll be able to confidently apply Machine Learning techniques to real-world problems and projects. In this series, we'll be covering the following: TensorFlow, Python, linear regression, variables, data analysis, data preprocessing, model evaluation, neural networks. Before the start of the series, I reccomend taking a look at GoogleColab and Tensorflow below are the links: [https://colab.research.google.com/ ](https://www.tensorflow.org/) [https://www.tensorflow.org/](https://www.tensorflow.org/). For your success in this class, I highly recommend having some experience with Python! While we'll cover essential Python libraries and functions for machine learning, having a basic understanding of Python syntax, data structures, and object-oriented programming will help you follow along more smoothly and get the most out of this series. Don't worry if you're new—I'll provide plenty of guidance along the way! Currently, there are only two sessions listed. More will be added soon.

Join me for a comprehensive tutoring session on "Mastering APA 7th Edition," designed to help you understand and apply the latest APA guidelines in your academic writing. This session will cover essential elements such as in-text citations, reference formatting, title page setup, and overall document structure. We will also discuss tips for integrating citations smoothly, avoiding plagiarism, and utilizing APA style to enhance clarity and professionalism in writing. Whether you are new to APA or looking to refine your skills, this session provides practical guidance and hands-on examples to boost your confidence in using APA 7th edition standards effectively. If you have an APA paper that you would like to review during the session, please reach out prior to the session!

This is a co-host meeting for the introduction to machine learning and A.I. series.

This two-session series introduces students to the fundamentals of databases and API development, essential building blocks for modern web applications. In the first session, students will learn SQL basics and create their own database, gaining hands-on experience in storing, organizing, and manipulating data. The second session will expand on these skills by guiding students through the process of building an API in PHP to interact with their database. By creating endpoints for data retrieval and manipulation, students will understand how APIs make it possible for different applications to communicate with each other seamlessly. By the end of this series, students will have built a complete backend setup—combining a database and a PHP-powered API—that performs essential operations (CRUD). This series offers a practical and engaging way to learn how data is managed and served in the real world, preparing students for further exploration into backend development and web technologies. Before attending the session, ensure that you have XAMPP. This is a development environment that will allow you to create your database. You'll also want to install MySQL workbench. This provides a better interface than XAMPP for configuring data within your database. If you need help configuring either program, don't be afraid to reach out! You can find the links to both below: [https://www.apachefriends.org/index.html](https://www.apachefriends.org/index.html) [https://www.mysql.com/products/workbench/](https://www.mysql.com/products/workbench/)[](https://www.mysql.com/products/workbench/)