AI & Machine Learning Bootcamp: 21 Courses in 1 (Python, DS)

Compare back-end frameworks on latency and throughput, highlighting FastAPI's ultra low latency and ai readiness, Express's top throughput, and Flask and Django as reliable but slower for ai workloads.

Explore the five differences between machine learning and deep learning, including feature engineering, data size, computing power, and model complexity, with use cases across tabular data, fraud detection, and images.

Explore feature engineering as the bridge from raw data to meaningful model features, comparing manual crafting in traditional machine learning with automatic learning in deep learning.

Provide labeled data with known outputs for supervised learning, delivering precision. Enable unlabeled data to scale learning via unsupervised and self-supervised methods discovering patterns in vast data.

Explore how structured data stored in SQL databases supports preprocessing and interpretable predictions, while unstructured data like text and media relies on deep learning and data lakes or object storage.

Explore Python data types, including booleans, strings, integers, and floats, and learn how division affects results. Use lists, sets, and dictionaries with indexing and key-value access.

Explore how NumPy powers data science workflows from loading data with pandas to converting to NumPy arrays, cleaning, vectorized operations, feature engineering, and feeding scalable numerical computations into models.

Create a MySQL database and tables in Python using PyMySQL, connect to localhost with root, create database if not exists, define owners table with id, name, gender, verify show tables.

Load data into a MySQL database from comma-separated text files using Python, creating functions to insert owners and pets, and committing changes.

Learn how to display data from a database in an html table using python, with sql queries for owners and pets, and writing the table to a file.

Learn to use Python classes to create databases, add tables with multiple columns, insert elements, and view tables. Build and manage databases quickly with a reusable data access class.

Explore the differences between phpMyAdmin and MySQL workbench while learning to create databases, tables, and columns, set primary keys and collation, and manage user permissions.

Create a database and tables in MySQL Workbench, including a person table with id, name, and purchase, and visualize relationships using forward engineering and a diagram.

Understand table design to avoid redundant data with primary keys and foreign keys, and manage users and permissions, including per-table read, write, update, and delete.

Master importing and exporting data in CSV, XML, and JSON formats, with practical steps in phpMyAdmin and workbench to load external data into tables and export data to CSV.

Explore MySQL queries and query structure using phpMyAdmin, learning select, insert, update, and delete operations, plus where conditions, operators, and wildcard like, to manipulate and filter data.

Demonstrates inserting, updating, and deleting records in SQL, showing two insert formats, auto-increment IDs, and safety tips like selecting before deleting and using where clauses.

Explore common database storage engines — CSV, InnoDB, ISAM/MyISAM, and heap — their tradeoffs for queries, updates, and transactions, and learn to change engines in phpMyAdmin and Workbench.

Explore table joining in sql data science, covering inner, left, right, and full outer joins, including multiple joins and the having clause, with practical examples using name and purchase tables.

Master multi-table queries using joins, aliases, and selecting specific columns to return name, product name, and distributor details. Explore having versus where clauses and date filtering to refine results.

Explore restricting searches with custom fields like name_id and product_id, compute totals with sum and avg, and validate data length using length and having after select.

Group data by a common value to consolidate rows and produce single or multiple results, using max and sum to show most recent purchase and total purchases for James Donovan.

Learn to group by name.id to get unique customers’ max purchase dates and total items, then break out totals by product and apply subqueries.

Master subqueries, or nested queries, and learn how they pull the most recent records. Use products and purchases to see how a subquery becomes a temporary table for joins.

Mastering sub-queries and inner joins in SQL to fetch the most recent purchase data, sum amounts by product type, and handle null values with is null and is not null.

Explore how html uses markup language to structure and display web pages, using tags like p to start and end paragraphs, and learn how hypertext links connect pages.

Compare html4 to html5, showing simplified code, new semantic elements like header, footer, nav, and article, with video, audio, canvas, and geolocation, reducing plugin dependence.

Create your first HTML page using a text editor like TextEdit or Notepad and save it as index.html, then test it in a browser and explore the bold tag <b>.

Explore free and low-cost HTML editors, from text editors like Notepad or TextEdit to powerful tools such as Sublime Text, Brackets, and Dreamweaver, with previews and extensions to boost productivity.

Explore the anatomy of a basic html page, compare html4 and html5, and learn how the doctype, html tag, head with the title, and body shape what users see.

Explore paragraph tags and the break tag to create line breaks. Learn that br is a self-contained tag, without a closing tag, used for soft returns.

Format text with header tags in HTML to optimize SEO, using h1 for the main description and h2–h6 for subsections; avoid overusing them.

Learn how to apply bold and italic styling with old and new methods, using bold and strong, and italic and em, to support accessibility in web content.

Explore how to create ordered and unordered lists in HTML, using ul and ol tags with li items, converting between bullet points and numbered lists for web pages.

Explore linking to images, emails, and pages with relative and absolute paths. See how folder structure affects links and why absolute URLs stay intact when moving files.

Learn to create hyperlinks using the anchor tag, distinguish absolute and relative links, and open external pages in a new tab with href and target attributes.

Learn how to create email links in HTML using mailto:, opening the email program and populating the to field with an example like bob@aol.com.

Learn to hyperlink files on your site using the a href tag, handle relative paths for PDFs or zip files, and ensure the linked file opens in the browser.

Learn how to embed audio with the HTML5 audio tag, use a source tag for mp3, mp4, or ogg, and enable controls for playback across browsers.

Learn how to add video to an HTML page using the video tag, including source paths, formats like mp4 and ogg, and controls, autoplay, loop, and preload options.