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Learning Labs
By Business Science
How to Forecast
100 Time Series
3 Pro-Tips | 200 Lines of Code |
Bonus: 100 Time Series
FEATURING:
Sktime
1. Business Problem
2. 3 Pro Tips for Scaling
Forecasts
3. Full Code Tutorial:
Learn my process.
4. Special Offers on
Python Course & R
Time Series Course
Agenda
Project Workflow
Stage 1
Assess 1
Stage 2
Scale to Many
Learning Labs
PRO
50+ Labs
1-Hour Courses
100’s of Valuable Bonuses
Learn Data Science
Accelerate Your Career
Bonuses
for LL PRO Members Today
Shiny NLP Token Automation App
Join LL PRO Today!
Get the Shiny & Dash Apps!
Shiny Hierarchical Forecaster
Shiny Customer Segmentation App
Shiny Loan Default Scorer
Shiny Customer Retention App
Bonus Today
● Scalable Forecasting
● Best Model Selection
● Error Logging
From this To This!
100 TIME
SERIES
1 TIME SERIES
Business Problem
Product Sales Forecasting for Walmart
Walmart: Many products
We’re forecasting for Walmart.
Data comes from the M5 Competition.
Problem: So. Many. Products.
Walmart carries thousands of products.
Solution: What we build today
100 TIME
SERIES
Tool we’re using.
https://www.sktime.org/en/stable/
3-Pro Tips
When dealing with large scale.
Pro-Tip 1: Start with 1 Time Series
Forecasting 1000’s of time series is hard.
- Many Time Series
- Many Models
Simplify your problem.
Pro-Tip 2: Scale Experiments
Going from 1 to 100 is challenging.
Strategy:
- Test Many Models.
- Pick the Best One.
- Repeat.
Pro-Tip 3: Anticipate errors.
People don’t plan to fail. They fail to plan.
Anticipate that something will go wrong.
Have a plan.
- Implement error reports
- Review all errors
30-Min Demo
Forecasting 100 time series.
Walmart Product Sales
How do I learn what
we just did?
Become the Time Series Expert for your organization. 🚀
A lot to learn to become a Senior Data Scientist. But not to get started.
Data Preparation &
Visualization
Modeling Shiny Apps
Learn DS Foundations
(101)
Add Machine Learning
(201 & 203)
Learn Shiny Apps,
Cloud, & Automation
(102 & 202A)
Career Growth Curve
Business Analyst
Senior Data Scientist
Data Scientist
Student Success
“The Python Course is
fantastic and applicable to
machine learning
projects.”
-Ricardo Serrano
Author of Reproducible Finance with R
Head of Data & Quantamental Research at Truist Securities
Student Success
“I’m only 10% through and I
already picked up a couple
super useful new moves.”
-Jonathan Regenstein
Author of Reproducible Finance with R
Head of Data & Quantamental Research at Truist Securities
Student Success | R-Track Curriculum
“Because of the R courses
Matt has provided, I landed
my first Data Scientist Role.”
-Chris Selig
Brand New Data Scientist!
CNOOC International | Global Energy Company
Student Success | R-Track Curriculum
“The time series courses and
shiny courses were my
inspiration”
-Leo Timmermans
Data Scientist
OTTO Work Force
The Transformation
Got a DS
Job!
Got a
Senior DS
Role!
Got 3 raises
in 1-year
Built 1st
shiny app in
3-months
Won the
2020 shiny
competition
-TRACK BUNDLE
Two Systems: 1 Result
-COURSE
DS4B 101-P: Python for Data Science Automation Course
Designed for Beginners
● Pandas & Numpy
● Visualization
● SQL Databases
● Intro to Sktime
● Reporting
● Building Libraries
● Automation
Advanced
Machine
Learning
Visualization
Data Cleaning &
Manipulation
Data Science
Algorithms &
Iteration
Business
Reporting
Business Analysis with R
(DS4B 101-R)
Advanced ML & Time Series
(DS4B 201-R + DS4B 203-R)
Web Apps & Shiny Developer
(DS4B 102-R + DS4B 202A-R)
Web Apps &
Dashboards
Data Science Foundations
8 Weeks
Machine Learning & Time Series
20 Weeks
Web Application Development
12 Weeks
-TRACK
Project-Based Courses with Business Application
Business Science University
R-Track
NEW 5-Course R-Track System
Business
Consulting
Full Stack
Development &
Deployment
Time Series
Forecasting
R for Business
You complete 8 End-To-End Projects.
Customer
Segmentation
Product Price
Prediction
Churn
Prediction
Demand
Forecasting
DS4B 101-R DS4B 101-R DS4B 201-R DS4B 203-R
Demand Forecast
App
Product Price
Recommender App
Stock Analyzer
App
Application
Library
DS4B 102-R DS4B 102-R DS4B 202A-R DS4B 202A-R
What you build.
1 of 8 projects
Summary: What’s inside
1000+ Videos
130+ Hours of Content
8 End-to-End projects
Private Community Mentorship
Lifetime Access
30-Day Money Back Guarantee
$5,000 value
15% OFF PROMO Code: LEARNINGLABS
-COURSE
$5,000+ value
$1999
$1699
$1,000+ value
$399
$339
-TRACK BUNDLE
Career acceleration awaits
university.business-science.io

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Lab 64 - Python Sktime for time series analysis in python with visualization by Learning Labs.pdf

  • 1. Learning Labs By Business Science How to Forecast 100 Time Series 3 Pro-Tips | 200 Lines of Code | Bonus: 100 Time Series FEATURING: Sktime
  • 2. 1. Business Problem 2. 3 Pro Tips for Scaling Forecasts 3. Full Code Tutorial: Learn my process. 4. Special Offers on Python Course & R Time Series Course Agenda
  • 3. Project Workflow Stage 1 Assess 1 Stage 2 Scale to Many
  • 4. Learning Labs PRO 50+ Labs 1-Hour Courses 100’s of Valuable Bonuses Learn Data Science Accelerate Your Career
  • 5. Bonuses for LL PRO Members Today Shiny NLP Token Automation App Join LL PRO Today! Get the Shiny & Dash Apps! Shiny Hierarchical Forecaster Shiny Customer Segmentation App Shiny Loan Default Scorer Shiny Customer Retention App
  • 6. Bonus Today ● Scalable Forecasting ● Best Model Selection ● Error Logging From this To This! 100 TIME SERIES 1 TIME SERIES
  • 7. Business Problem Product Sales Forecasting for Walmart
  • 8. Walmart: Many products We’re forecasting for Walmart. Data comes from the M5 Competition. Problem: So. Many. Products. Walmart carries thousands of products.
  • 9. Solution: What we build today 100 TIME SERIES
  • 11. 3-Pro Tips When dealing with large scale.
  • 12. Pro-Tip 1: Start with 1 Time Series Forecasting 1000’s of time series is hard. - Many Time Series - Many Models Simplify your problem.
  • 13. Pro-Tip 2: Scale Experiments Going from 1 to 100 is challenging. Strategy: - Test Many Models. - Pick the Best One. - Repeat.
  • 14. Pro-Tip 3: Anticipate errors. People don’t plan to fail. They fail to plan. Anticipate that something will go wrong. Have a plan. - Implement error reports - Review all errors
  • 15. 30-Min Demo Forecasting 100 time series. Walmart Product Sales
  • 16. How do I learn what we just did? Become the Time Series Expert for your organization. 🚀
  • 17. A lot to learn to become a Senior Data Scientist. But not to get started. Data Preparation & Visualization Modeling Shiny Apps Learn DS Foundations (101) Add Machine Learning (201 & 203) Learn Shiny Apps, Cloud, & Automation (102 & 202A) Career Growth Curve Business Analyst Senior Data Scientist Data Scientist
  • 18. Student Success “The Python Course is fantastic and applicable to machine learning projects.” -Ricardo Serrano Author of Reproducible Finance with R Head of Data & Quantamental Research at Truist Securities
  • 19. Student Success “I’m only 10% through and I already picked up a couple super useful new moves.” -Jonathan Regenstein Author of Reproducible Finance with R Head of Data & Quantamental Research at Truist Securities
  • 20. Student Success | R-Track Curriculum “Because of the R courses Matt has provided, I landed my first Data Scientist Role.” -Chris Selig Brand New Data Scientist! CNOOC International | Global Energy Company
  • 21. Student Success | R-Track Curriculum “The time series courses and shiny courses were my inspiration” -Leo Timmermans Data Scientist OTTO Work Force
  • 22. The Transformation Got a DS Job! Got a Senior DS Role! Got 3 raises in 1-year Built 1st shiny app in 3-months Won the 2020 shiny competition
  • 23. -TRACK BUNDLE Two Systems: 1 Result -COURSE
  • 24. DS4B 101-P: Python for Data Science Automation Course Designed for Beginners ● Pandas & Numpy ● Visualization ● SQL Databases ● Intro to Sktime ● Reporting ● Building Libraries ● Automation
  • 25. Advanced Machine Learning Visualization Data Cleaning & Manipulation Data Science Algorithms & Iteration Business Reporting Business Analysis with R (DS4B 101-R) Advanced ML & Time Series (DS4B 201-R + DS4B 203-R) Web Apps & Shiny Developer (DS4B 102-R + DS4B 202A-R) Web Apps & Dashboards Data Science Foundations 8 Weeks Machine Learning & Time Series 20 Weeks Web Application Development 12 Weeks -TRACK Project-Based Courses with Business Application Business Science University R-Track NEW 5-Course R-Track System Business Consulting Full Stack Development & Deployment Time Series Forecasting R for Business
  • 26. You complete 8 End-To-End Projects. Customer Segmentation Product Price Prediction Churn Prediction Demand Forecasting DS4B 101-R DS4B 101-R DS4B 201-R DS4B 203-R Demand Forecast App Product Price Recommender App Stock Analyzer App Application Library DS4B 102-R DS4B 102-R DS4B 202A-R DS4B 202A-R
  • 27. What you build. 1 of 8 projects
  • 28. Summary: What’s inside 1000+ Videos 130+ Hours of Content 8 End-to-End projects Private Community Mentorship Lifetime Access 30-Day Money Back Guarantee $5,000 value
  • 29. 15% OFF PROMO Code: LEARNINGLABS -COURSE $5,000+ value $1999 $1699 $1,000+ value $399 $339 -TRACK BUNDLE