AI-Powered B2B Marketing: Machine Learning Mastery 2024
Focused View
3:49:23
1 - Introduction.mp4
04:25
2 - Overview of Intent Prediction.mp4
13:02
3 - Dataset IntentData of Google Campaigns.txt
3 - Import Dataset.mp4
14:39
4 - Build Function for Feedback Score.mp4
03:31
5 - Encode Data.mp4
13:46
6 - Build Logistic Model.mp4
08:38
7 - Confusion Matrix.mp4
02:30
8 - Create Prediction Result.mp4
07:45
9 - Generalized Linear Model.mp4
18:45
10 - Build Intent Prediction results.mp4
13:59
11 - Draw ROC AUC Curve.mp4
04:24
12 - Introduction.mp4
06:01
13 - Import Dataset.mp4
07:34
13 - UniFit-retail-final-mod.csv
14 - Visualize Data.mp4
07:11
15 - Feature Selection LassoRidge Regularization.mp4
05:47
16 - Feature Selection and Elimination.mp4
13:17
17 - Display Selected Features.mp4
05:01
18 - Display Selected Features Contd.mp4
04:08
19 - Build Model Pipeline.mp4
09:21
20 - Build Model Pipeline Contd.mp4
03:22
21 - Build Deeplearning Model.mp4
08:12
22 - Voting Classifier.mp4
02:26
23 - Implement Voting Classifier.mp4
07:38
24 - Model Predictions.mp4
05:21
25 - CLTV Import Data.mp4
06:01
26 - Introduction to Gamma Distribution.mp4
02:46
27 - Analyze Dataset.mp4
03:07
28 - Find Outliers.mp4
09:23
29 - Perform Data Aggregation.mp4
01:40
30 - Recency Frequency Monetary Calculation.mp4
05:04
31 - Implement BetaGeoFitter for prediction.mp4
02:24
32 - Implement Gamma Model for prediction.mp4
02:15
33 - CLTV Segmentation.mp4
04:48
34 - Compare Frequency of Customers Actual Vs Predicted.mp4
01:12
More details
Course Overview
Transform B2B marketing strategies with cutting-edge AI and machine learning techniques for intent prediction, customer segmentation, and sales optimization.
What You'll Learn
- Build intent prediction models using logistic regression and GLM
- Develop propensity models with advanced feature selection techniques
- Calculate customer lifetime value using Gamma-Gamma and BG/NBD models
Who This Is For
- B2B marketers looking to leverage AI for campaign optimization
- Data scientists transitioning to marketing applications
- Growth hackers implementing predictive analytics
Key Benefits
- Hands-on marketing AI models with real-world datasets
- Advanced techniques from feature selection to model ensembles
- Practical frameworks for immediate business application
Curriculum Highlights
- B2B Intent Prediction Modeling
- Purchase Propensity Modeling
- Customer Lifetime Value Prediction
Focused display
Category
- language english
- Training sessions 34
- duration 3:49:23
- Release Date 2025/05/10
