MLX

Machine Learning X

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Machine Learning X

A free, open-source Machine Learning & Data Science curriculum that’s currently under heavy development. This is a project by intechgration.

Required Software

Make sure to install the following software on your machine:

• Install Visual Studio Code
• Install SQLite database
• Install Python on your system

Prerequisites

• How Computers work
• How the Internet works
• Data Formats
• Familiarity with the terminal
• Databases
• Programming: Python
• Statistics

Prerequisites | How Computers Work

• Watch How Computers Work (⏱️ Total duration: 27min)

Prerequisites | How the Internet Works

• Watch How The Internet Works (⏱️ Total duration: 48min)

Prerequisites | Data Formats

Here are some of the most commonly used data formats. They are used to save information in a way that is readable both by humans and machines. The structured data stored in these file formats can be exchanged between systems and processed by programs.

• JSON (JavaScript Object Notation)
• XML (eXtensible Markup Language)
• YAML (YAML Ain’t Markup Language)
• CSV (Comma-Separated Values)

CSV (Comma-Separated Values) is a simple file format used for storing and exchanging structured data, where each line represents a record or entry, and fields or columns within each record are separated by commas.

• Understanding CSV Files (⏱️ 6min)

  • You can find the sample.csv file mentioned in the video here.

In short, CSV is a lightweight data format, where:

• Each line of text is a single row
• Fields (columns) are separated by comma , delimiter character
• The file contains just the data itself (along with the delimiter)
• Does not need any special software (it’s just a plain text file)

• All spreadsheet apps (MS Excel, Google Sheets, Numbers, etc.) can read and write CSV

• Watch The Big 3 Programming Data Formats (JSON, CSV, XML) (⏱️ 8min)

• Watch The Basics of YAML in Under 5 Minutes (⏱️ 4min)

• Read the sections about the CSV and XLSX formats in this article and search for more resources on the Web about them.

Feel free to explore and become familiar with other related data formats and their variations, such as TSV (Tab Separated Values), TOML (Tom’s Obvious, Minimal Language) and other.

Prerequisites | Terminal

• Watch Command Line Crash Course For Beginners | Terminal Commands (⏱️ 45min) and practice each command on your terminal.

Resources:

• Microsoft Powershell for every system
• Installing PowerShell on macOS

Prerequisites | Databases

• Watch and practice with Exploratory Data Analysis in Spreadsheets (⏱️ 70min)
  • You can find the CSV dataset on this link

SQL is the most widely used language in Data Science.

• Watch and practice with Spreadsheets & SQL for Beginners (⏱️ 21min)

• Take the Database Murder Mystery Challenge

• Watch the Harvard CS50 Introduction to Databases with SQL course (⏱️ 11h):

  • Introduction
  • Lecture 0 - Querying (SQLite)
    • Notes
  • Relating
  • Designing
  • Writing
  • Viewing
  • Optimizing

Prerequisites | Python

“Python, is the primary high-level language for Machine Learning and Data Science.”

• Complete the SoloLearn Introduction to Python course
• Complete the SoloLearn Python Intermediate course
• Watch and practice with the Python Programming Tutorials by Socratica
  • Important: the YouTube playlist contains videos for Python version 2 and 3. You can skip the videos related to version 2 and just focus on version 3.

You can practice Python online (without the need to install anything on your machine) through the PythonFiddle website

Extra Resources:

• Complete the Python for Beginners course by Microsoft (⏱️ 4h 36min)
• Complete the More Python for Beginners course by Microsoft (⏱️ 2h 23min)
• Complete the Even More Python for Beginners: Data Tools course by Microsoft (⏱️ 2h 32min)

Prerequisites | Statistics

Pick one of the following courses for a primary on Statistics (or watch both of them for an even better understanding of the topic):

• Statistics (CrashCourse) (⏱️ 8h 45min)(45 videos)
• Statistics - A Full University Course on Data Science Basics (⏱️ 8h 15min)

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Syllabus

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