MLB Sports Betting Model with Python! Day 1: Project Goals and Objectives

Опубликовано: 21 Февраль 2026
на канале: Dancing with Data | Data Science and Engineering
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Join me as we start on a brand new project together. We will be learning how to build a sports betting model in Python. First up, we are working on MLB Regular Season Over/Unders Betting.

Our goal is to leave this project with a working model that you can use to make real money against the books. Our next goal is to have you grow as a Data Scientist and Programmer!

Project Objectives: 00:00
Pre-Requisites: 02:30
Today's Agenda: 05:46
Python Install: 06:55
VSCode Download: 07:45 (had internet connection problems during this)
HomeBrew Download: 08:00
Git Download: 08:57
Miniconda Download: 10:30
Load the Environment: 12:15
Git Setup: 16:30
Set Channel Priority in Miniconda: 18:20
CookieCutter Git and Setup: 20:40
VSCode Extensions: 35:55
Homebrew Install Git Debug: 38:20
What's Next: 40:00


Inspiration has come from:
The Professor (   / pickswiththeprofessor  )
Sharp Picks with Ben (   • Ben's Big $ Sharp Betting Pick Game 7 Heat...   video example)

My Betting Site:
BetOnline (https://www.betonline.ag/?RAF=K70JWZO...)