Free Download AI For B2B Marketing
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.27 GB | Duration: 3h 49m
Harnessing Machine Learning to Transform B2B Marketing Strategies and Drive Business Growth
What you'll learn
Build B2B Marketing Models using Machine Learning
Start Marketing of your Business with understanding of B2B Intent data and propensity of Ad Sales
Prioritize Business Marketing with Machine Learning
Augment Marketing Department with AI B2B Models
Requirements
Basic Machine Learning
Description
In today's rapidly evolving business landscape, leveraging artificial intelligence (AI) has become essential for effective B2B marketing. This course, AI for B2B Marketing, is designed for individuals with beginner to intermediate experience in machine learning who are eager to apply these skills in a business context.Participants will explore how to build robust B2B marketing models utilizing machine learning techniques, enabling them to make data-driven decisions that enhance marketing effectiveness. You will learn to identify and interpret B2B intent data, gaining insights into customer behavior and preferences. This understanding will empower you to prioritize marketing efforts based on the propensity for ad sales, ensuring your strategies align with customer needs.The course also focuses on augmenting traditional marketing departments with AI-driven models, providing you with the tools to optimize campaigns and improve ROI. Through practical exercises and real-world examples, you will develop the skills necessary to implement machine learning solutions that can transform your business's marketing approach.By the end of the course, you will be equipped to build, analyze, and implement innovative marketing strategies that drive engagement and growth in the B2B sector. Join us to elevate your marketing expertise and harness the power of AI in your business!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Overview of Intent Prediction
Lecture 3 Import Dataset
Lecture 4 Build Function for Feedback Score
Lecture 5 Encode Data
Lecture 6 Build Logistic Model
Lecture 7 Confusion Matrix
Lecture 8 Create Prediction Result
Lecture 9 Generalized Linear Model
Lecture 10 Build Intent Prediction results
Lecture 11 Draw ROC AUC Curve
Section 2: Propensity Model for Buy Product
Lecture 12 Introduction
Lecture 13 Import Dataset
Lecture 14 Visualize Data
Lecture 15 Feature Selection Lasso-Ridge Regularization
Lecture 16 Feature Selection and Elimination
Lecture 17 Display Selected Features
Lecture 18 Display Selected Features Contd
Lecture 19 Build Model Pipeline
Lecture 20 Build Model Pipeline Contd
Lecture 21 Build Deeplearning Model
Lecture 22 Voting Classifier
Lecture 23 Implement Voting Classifier
Lecture 24 Model Predictions
Section 3: Customer Life Time Value Prediction - Pending
Lecture 25 CLTV Import Data
Lecture 26 Introduction to Gamma Distribution
Lecture 27 Analyze Dataset
Lecture 28 Find Outliers
Lecture 29 Perform Data Aggregation
Lecture 30 Recency, Frequency, Monetary Calculation
Lecture 31 Implement BetaGeoFitter for prediction
Lecture 32 Implement Gamma Model for prediction
Lecture 33 CLTV Segmentation
Lecture 34 Compare Frequency of Customers Actual Vs Predicted
Beginner and Intermediate Experience in Machine learning. Anyone who is looking to Build B2B Business.
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