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AI For B2B Marketing - mitsumi - 10-31-2024 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. rapidgator.net: ddownload.com: |