Introduction To Machine Learning In Sports Predictions

Machine Learning for Sports Predictive Modeling

What you'll learn

Learn high-level Machine Learning concepts

Learn high-level sports prediction concepts

Learn the full workflow of creating a machine learning app for sports

Learn Predictive Modeling Problems for Sports

Learn a case study for NBA games prediction

Requirements

Basic Machine Learning knowledge

Just need to know python

Description

Are you fascinated by the intersection of sports, data science, and machine learning? Do you dream of unlocking the secrets behind winning strategies in sports betting? Whether you're a budding data scientist, a sports analyst in the making, or a sports betting enthusiast eager to dive into the world of predictive modeling, our course is tailored just for you! This course aims to teach you the general pipeline to deploy a machine learning app for real world sports betting applications. What's On Offer? Our "Introduction to Machine Learning in Sports Predictions" course is meticulously designed to guide you through the thrilling process of applying machine learning techniques to predict sports game outcomes, player performances, and season trends, high-level machine learning concepts, ideas and workflow generic to all sports. You'll be prepared to dive deep into the full development cycle of machine learning models for predictive modeling of each individual sport. You'll go through a case study for NBA games prediction, where the trained model can be applied directly to build your own appWhat Will You Learn?The fundamentals of machine learning and how they apply to sports prediction.Techniques for collecting, cleaning, and preprocessing sports data.Strategies for building and evaluating predictive models with real sports data.High-level machine learning concepts, ideas and workflow generic to all sports.Be prepared for a series of follow up courses for predictions in different sports.A case study for NBA games prediction, where the trained model can be applied directly to build your own app

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Introduction to Machine Learning (Application Focused)

Section 2: Machine Learning

Lecture 3 Machine Learning App Development Workflow

Lecture 4 Core Techniques in Machine Learning

Section 3: Sports Predictive Modeling

Lecture 5 Introduction to Sports Predictive Modeling

Lecture 6 Applying Machine Learning to Sports Predictions

Section 4: Case Study: NBA Games Prediction

Lecture 7 Problem Definition

Lecture 8 Data Gathering

Lecture 9 Preprocessing

Lecture 10 Preprocessing - Feature Engineering

Lecture 11 Preprocessing - Data Formalization

Lecture 12 Predictive Model

Section 5: Conclusion

Lecture 13 Bonus

Anyone interested in real world machine learning,Anyone interested in machine learning applications in sports,Anyone interested in better sports betting,Anyone interested in building a sports betting app,Anyone interested in developing predictive models for NBA games