| 1 -Course Outline.mp4 | 16.8 MB | ||
| 1 -Identifying data sources.mp4 | 16.3 MB | ||
| 1 -Introduction to Exploratory Data Analysis.mp4 | 35.8 MB | ||
| 1 -Introduction to Predictive Modelling.mp4 | 34.5 MB | ||
| 1 -Leveraging AI for Customer Segmentation - Part 1.mp4 | 75.1 MB | ||
| 1 -Model Evaluation Techniques – Cross Validation.mp4 | 84.7 MB | ||
| 1 -Problem Definition.mp4 | 4.7 MB | ||
| 2 -Data Cleaning and Preprocessing – Handling Missing Values.mp4 | 18.4 MB | ||
| 2 -Data Preparation.mp4 | 63 MB | ||
| 2 -Descriptive Statistics.mp4 | 79.4 MB | ||
| 2 -Leveraging AI for Customer Segmentation - Part 2.mp4 | 119.5 MB | ||
| 2 -Model Evaluation Techniques – Performance Metrics.mp4 | 107.5 MB | ||
| 2 -Supervised Learning Techniques – Linear Regression and Random Forests.mp4 | 58.3 MB | ||
| 2 -Understanding AI in Marketing.mp4 | 43.1 MB | ||
| 3 -Basics of Machine Learning.mp4 | 29.6 MB | ||
| 3 -Data Cleaning and Preprocessing – Data Normalization and Standardization.mp4 | 19 MB | ||
| 3 -Data Visualization.mp4 | 87.8 MB | ||
| 3 -Hyperparameter Tuning.mp4 | 63.6 MB | ||
| 3 -Model Building.mp4 | 22.4 MB | ||
| 3 -Unsupervised Learning Techniques – Clustering Techniques.mp4 | 58.8 MB | ||
| 4 -Data Cleaning and Preprocessing – Feature Engineering.mp4 | 8.8 MB | ||
| 4 -Model Evaluation.mp4 | 38.6 MB | ||
| 4 -Overfitting and Underfitting.mp4 | 96.2 MB | ||
| 4 -Overview of Predictive Analytics.mp4 | 36.7 MB | ||
| 4 -Unsupervised Learning Techniques – Principal Component Analysis.mp4 | 50.5 MB | ||
| 5 -Hands On Exercise.mp4 | 195.7 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 31 total files | |||
AI-Driven Market Analysis: Predict & Profit with ML Models
https://DevCourseWeb.com
Published 3/2025
Created by Skool of AI,Meta Brains
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 29 Lectures ( 3h 32m ) | Size: 1.61 GB
Leverage AI for Strategic Insights: Master Data Analysis, Predictive Modeling, Customer Segmentation & Sales Forecasting
What you'll learn
Master AI-driven marketing strategies to optimize campaigns.
Build predictive models to forecast customer behavior effectively.
Analyze and interpret marketing data for actionable insights.
Segment customers using machine learning and clustering techniques.
Automate marketing tasks with AI tools and workflows.
Design personalized marketing strategies with predictive analytics.
Visualize data through professional-level dashboards and tools.
Apply AI to enhance ROI and business growth in marketing efforts.
Requirements
No prior experience in AI or marketing required; beginners welcome!
Basic familiarity with computers and internet navigation helpful.
Access tInterest in data-driven marketing and analytics.o a computer with internet connection.
Interest in data-driven marketing and analytics.
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