Analysis of Time Serie Data, predictions and recommendations by pierre canadasAnalysis of Time Serie Data, predictions and recommendations by pierre canadas
Analysis of Time Serie Data, predictions and recommendationspierre canadas
Cover image for Analysis of Time Serie Data, predictions and recommendations
Discussion to understand the business side of the project and identify objectives
Definition of Key success criteria
Data Analysis
Insights and recommendations

What's included

Source code
Reusable Python code
Analysis summary (non-technical)
A document summarizing the method, findings and conclusions. Including graphs and charts, main conlcusions and recommendations for next steps
Contact for pricing
Tags
pandas
Python
scikit-learn
XGBoost
AI Developer
Data Science Specialist
ML Engineer
Service provided by
pierre canadas 33370 Tresses, France
Analysis of Time Serie Data, predictions and recommendationspierre canadas
Contact for pricing
Tags
pandas
Python
scikit-learn
XGBoost
AI Developer
Data Science Specialist
ML Engineer
Cover image for Analysis of Time Serie Data, predictions and recommendations
Discussion to understand the business side of the project and identify objectives
Definition of Key success criteria
Data Analysis
Insights and recommendations

What's included

Source code
Reusable Python code
Analysis summary (non-technical)
A document summarizing the method, findings and conclusions. Including graphs and charts, main conlcusions and recommendations for next steps
Contact for pricing