Udemy - AI-Driven Market Analysis - Predict and Profit with ML Models

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.6 GB
  • Uploaded Byfreecoursewb
  • Downloads66
  • Last checkedApr. 04th '25
  • Date uploadedApr. 03rd '25
  • Seeders 10
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Infohash : B18C8792F7B8A3A6A34DD7D5C152F2F0D1DF21A5

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.

Files:

[ DevCourseWeb.com ] Udemy - AI-Driven Market Analysis - Predict and Profit with ML Models
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction to AI-Driven Marketing
    • 1 -Course Outline.mp4 (16.8 MB)
    • 2 -Understanding AI in Marketing.mp4 (43.1 MB)
    • 3 -Basics of Machine Learning.mp4 (29.6 MB)
    • 4 -Overview of Predictive Analytics.mp4 (36.7 MB)
    2 - Data Collection and Preparation
    • 1 -Identifying data sources.mp4 (16.3 MB)
    • 2 -Data Cleaning and Preprocessing – Handling Missing Values.mp4 (18.4 MB)
    • 3 -Data Cleaning and Preprocessing – Data Normalization and Standardization.mp4 (19.0 MB)
    • 4 -Data Cleaning and Preprocessing – Feature Engineering.mp4 (8.8 MB)
    • 5 -Hands On Exercise.mp4 (195.7 MB)
    3 - Exploratory Data Analysis (EDA)
    • 1 -Introduction to Exploratory Data Analysis.mp4 (35.8 MB)
    • 2 -Descriptive Statistics.mp4 (79.4 MB)
    • 3 -Data Visualization.mp4 (87.8 MB)
    4 - Building Predictive Models
    • 1 -Introduction to Predictive Modelling.mp4 (34.5 MB)
    • 2 -Supervised Learning Techniques – Linear Regression and Random Forests.mp4 (58.3 MB)
    • 3 -Unsupervised Learning Techniques – Clustering Techniques.mp4 (58.8 MB)
    • 4 -Unsupervised Learning Techniques – Principal Component Analysis.mp4 (50.5 MB)
    5 - Evaluating and Tuning Models
    • 1 -Model Evaluation Techniques – Cross Validation.mp4 (84.7 MB)
    • 2 -Model Evaluation Techniques – Performance Metrics.mp4 (107.5 MB)
    • 3 -Hyperparameter Tuning.mp4 (63.6 MB)
    • 4 -Overfitting and Underfitting.mp4 (96.2 MB)
    6 - Practical Application – Case Study I Predicting Customer Churn
    • 1 -Problem Definition.mp4 (12.2 MB)
    • 2 -Data Preparation.mp4 (166.8 MB)
    • 3 -Model Building.mp4 (13.6 MB)
    7 - Practical Application – Case Study II Sales Forecasting
    • 1 -Problem Definition.mp4 (4.7 MB)
    • 2 -Data Preparation.mp4 (63.0 MB)
    • 3 -Model Building.mp4 (22.4 MB)
    • 4 -Model Evaluation.mp4 (38.6 MB)
    8 - Implementing AI in Marketing Strategies
    • 1 -Leveraging AI for Customer Segmentation - Part 1.mp4 (75.1 MB)
    • 2 -Leveraging AI for Customer Segmentation - Part 2.mp4 (119.5 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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