Udemy - Machine Learning for BI, PART 3 - Regression & Forecasting

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[ FreeCourseWeb.com ] Udemy - Machine Learning for BI, PART 3 - Regression & Forecasting
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 Getting Started
    • 001 Course Structure & Outline.en.srt (3.2 KB)
    • 001 Course Structure & Outline.mp4 (36.0 MB)
    • 002 READ ME_ Important Notes for New Students.html (5.3 KB)
    • 003 About This Series.en.srt (0.7 KB)
    • 003 About This Series.mp4 (3.2 MB)
    • 004 DOWNLOAD_ Course Resources.html (1.6 KB)
    • 004 Machine Learning Part 3 - Regression.pdf (4.1 MB)
    • 004 Maven_ML_Demos_Part_3.xlsx (711.2 KB)
    • 005 Setting Expectations.en.srt (4.2 KB)
    • 005 Setting Expectations.mp4 (14.2 MB)
    02 Intro to Regression
    • 001 Supervised vs. Unsupervised Learning.en.srt (3.4 KB)
    • 001 Supervised vs. Unsupervised Learning.mp4 (10.5 MB)
    • 002 RECAP_ Key Concepts.en.srt (3.9 KB)
    • 002 RECAP_ Key Concepts.mp4 (12.8 MB)
    • 003 Regression 101.en.srt (4.2 KB)
    • 003 Regression 101.mp4 (13.9 MB)
    • 004 Regression Workflow.en.srt (2.0 KB)
    • 004 Regression Workflow.mp4 (5.7 MB)
    • 005 Feature Engineering.en.srt (4.2 KB)
    • 005 Feature Engineering.mp4 (14.0 MB)
    • 006 Splitting & Overfitting.en.srt (3.8 KB)
    • 006 Splitting & Overfitting.mp4 (12.5 MB)
    • 007 Prediction vs. Root-Cause Analysis.en.srt (1.8 KB)
    • 007 Prediction vs. Root-Cause Analysis.mp4 (5.1 MB)
    03 Regression Modeling
    • 001 Intro to Regression Modeling.en.srt (1.7 KB)
    • 001 Intro to Regression Modeling.mp4 (5.3 MB)
    • 002 Linear Relationships.en.srt (5.7 KB)
    • 002 Linear Relationships.mp4 (19.9 MB)
    • 003 Least Squared Error.en.srt (7.6 KB)
    • 003 Least Squared Error.mp4 (26.2 MB)
    • 004 Univariate Linear Regression.en.srt (2.2 KB)
    • 004 Univariate Linear Regression.mp4 (3.0 MB)
    • 005 CASE STUDY_ Univariate Linear Regression.en.srt (12.9 KB)
    • 005 CASE STUDY_ Univariate Linear Regression.mp4 (43.6 MB)
    • 006 Multiple Linear Regression.en.srt (8.6 KB)
    • 006 Multiple Linear Regression.mp4 (34.9 MB)
    • 007 Non-Linear Regression.en.srt (5.2 KB)
    • 007 Non-Linear Regression.mp4 (18.4 MB)
    • 008 CASE STUDY_ Non-Linear Regression.en.srt (12.9 KB)
    • 008 CASE STUDY_ Non-Linear Regression.mp4 (80.0 MB)
    04 Model Diagnostics
    • 001 Intro to Model Diagnostics.en.srt (2.6 KB)
    • 001 Intro to Model Diagnostics.mp4 (8.2 MB)
    • 002 Sample Model Output.en.srt (1.2 KB)
    • 002 Sample Model Output.mp4 (7.8 MB)
    • 003 R-Squared.en.srt (7.4 KB)
    • 003 R-Squared.mp4 (23.1 MB)
    • 004 Mean Error Metrics (MSE, MAE, MAPE).en.srt (8.9 KB)
    • 004 Mean Error Metrics (MSE, MAE, MAPE).mp4 (28.1 MB)
    • 005 Homoskedasticity.en.srt (3.1 KB)
    • 005 Homoskedasticity.mp4 (12.9 MB)
    • 006 Null Hypothesis.en.srt (1.8 KB)
    • 006 Null Hypothesis.mp4 (5.7 MB)
    • 007 F-Significance.en.srt (2.9 KB)
    • 007 F-Significance.mp4 (12.2 MB)
    • 008 T-Values & P-Values.en.srt (4.8 KB)
    • 008 T-Values & P-Values.mp4 (22.4 MB)
    • 009 Multicollinearity.en.srt (2.4 KB)
    • 009 Multicollinearity.mp4 (7.6 MB)
    • 010 Variance Inflation Factor.en.srt (5.1 KB)
    • 010 Variance Inflation Factor.mp4 (18.2 MB)
    • 011 RECAP_ Sample Model Output.en.srt (6.2 KB)
    • 011 RECAP_ Sample Model Output.mp4 (24.6 MB)
    05 Time-Series Forecasting
    • 001 Intro to Forecasting.en.srt (3.3 KB)
    • 001 Intro to Forecasting.mp4 (11.0 MB)
    • 002 Seasonality.en.srt (2.6 KB)
    • 002 Seasonality.mp4 (7.7 MB)
    • 003 Auto Correlation Function.en.srt (3.2 KB)
    • 003 Auto Correlation Function.mp4 (11.3 MB)
    • 004 CASE STUDY_ Seasonality with ACF.en.srt (6.0 KB)
    • 004 CASE STUDY_ Seasonality with ACF.mp4 (31.5 MB)
    • 005 One-Hot Encoding.en.srt (3.0 KB)
    • 005 One-Hot Encoding.mp4 (11.1 MB)
    • 006 CASE STUDY_ Seasonality with One-Hot Encoding.en.srt (11.9 KB)
    • 006 CASE STUDY_ Seasonality with One-Hot Encoding.mp4 (65.0 MB)
    • 007 Linear Trending.en.srt (3.9 KB)
    • 007 Linear Trending.mp4 (11.8 MB)
    • 008 CASE STUDY_ Seasonality with Linear Trend.en.srt (12.9 KB)
    • 008 CASE STUDY_ Seasonality with Linear Trend.mp4 (76.0 MB)
    • 009 Smoothing.en.srt (2.7 KB)
    • 009 Smoothing.mp4 (9.5 MB)
    • 010 CASE STUDY_ Smoothing.en.srt (8.2 KB)
    • 010 CASE STUDY_ Smoothing.mp4 (41.4 MB)
    • 011 Non-Linear Trends.en.srt (2.1 KB)
    • 011 Non-Linear Trends.mp4 (7.6 MB)
    • 012 CASE STUDY_ Non-Linear Trend.en.srt (8.9 KB)
    • 012 CASE STUDY_ Non-Linear Trend.mp4 (31.1 MB)
    • 013 Intervention Analysis.en.srt (4.0 KB)
    • 013 Intervention Analysis.mp4 (15.9 MB)
    • 014 CASE STUDY_ Intervention Analysis.en.srt (12.2 KB)
    • 014 CASE STUDY_ Intervention Analysis.mp4 (76.7 MB)
    06 Wrapping Up
    • 001 Looking Ahead to Part 4.en.srt (1.2 KB)
    • 001 Looking Ahead to Part 4.mp4 (4.1 MB)
    • 002 BONUS LECTURE.html (8.1 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Machine Learning for BI, PART 3: Regression & Forecasting



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 47 lectures (2h 32m) | Size: 774.4 MB
Demystify Machine Learning and build foundational Data Science skills like regression & forecasting, without any code!
What you'll learn:
Build foundational machine learning & data science skills, without writing complex code
Use intuitive, user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques
Predict numerical outcomes using regression modeling and time-series forecasting techniques
Calculate diagnostic metrics like R-Squared, Mean Error, F-Significance and P-Values to diagnose model quality
Explore unique, hands-on case studies to see how regression analysis can be applied to real-world business intelligence use cases

Requirements
This is a beginner-friendly course (no prior knowledge or math/stats background required)
We'll use Microsoft Excel (Office 365) for some course s, but participation is optional
This is PART 3 of our Machine Learning for BI series (we recommend taking Parts 1 & 2 first)

Description
This course is PART 3 of a 4-PART SERIES designed to help you build a strong, foundational understanding of Machine Learning:

PART 1: QA & Data Profiling



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Udemy - Machine Learning for BI, PART 3 - Regression & Forecasting

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Download torrent
946.7 MB
seeders:12
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Udemy - Machine Learning for BI, PART 3 - Regression & Forecasting

Torrent hash: 54F8C939428D7F5249AB82F48A387E295609F755