Full Tutorial: Causal Machine Learning in Python (Feat. Uber's CausalML) скачать в хорошем качестве

Full Tutorial: Causal Machine Learning in Python (Feat. Uber's CausalML)

Hey future Business Scientists, welcome back to my Business Science channel. This is Learning Lab 90 where I shared how I do Causal Machine Learning and Causal Inference in Python. This FULL TUTORIAL is JAMMED to the brim with value. I cover an in-depth Python Marketing Analytics workshop that covers making Marketing Experiments, exploratory analysis with Correlation Funnels, modeling bookings and cancellations, working with statsmodels to make Logistic Regression Models, using Causal Machine Learning with Uber's CausalML, and more! ** JOIN LEARNING LABS PRO ** 💥 GET THE DATA + CODE IN THIS VIDEO: https://university.business-science.i... ** LIMITED TIME OFFER ** 💥 Learn Python with Me: https://learn.business-science.io/2-c... Table of Contents 00:00 Causal Machine Learning in Python (Feat. CausalML) 01:24 Agenda 03:39 My background 07:21 Introduction to Causal Machine Learning (Quick Concepts) 12:42 Full Code Tutorial: Hotel Cancellations Business Case Study 13:00 Project Setup 17:03 Part 1: Analyzing Hotel Cancellations (Pre-Experiment) 20:05 Cost Analysis: How many people cancel? 22:18 Data Preprocessing 26:22 Cancellation Correlation Analysis (Correlation Funnel) 35:54 Causal Hypothesis: Will reducing lead times also reduce cancellations? 42:50 Problem: Need to consider confounders 46:48 Part 2: Marketing Experiment to Reduce Hotel Cancellations 50:00 Experiment Analysis: How many people accept the offer and does it reduce cancellations? 53:04 Causal Machine Learning Analysis 54:00 Uplift Tree (Decision Tree Classifier) 56:56 Interpretable Causal Machine Learning (SHAP) 1:02:00 Causal Optimize Module (Adding Treatment Costs $$$) 1:05:22 Uplift Calculations: Calculating Return on Investment (ROI) 1:07:47 How to make $150,000 with data science #DataScience #Python #MachineLearning