d2cml-ai/CausalAI-Course
Nov 2024 – Nov 2024
1 Month active
Languages Used
Markdown
Technical Skills
Data AnalysisData Analysis ReportingMachine LearningNatural Language ProcessingReport GenerationReport Writing
emiliogar7498
PROFILE
Emiliogar7498
Developed and delivered a comprehensive Airbnb Price Prediction Report for the d2cml-ai/CausalAI-Course repository, focusing on data analysis, machine learning, and natural language processing. The work included drafting a structured Markdown document with a title page, clear objectives, methodology, and findings, as well as an expanded section detailing strengths, weaknesses, contributions, and recommendations, with particular attention to sentiment analysis and modeling strategies. Emphasized reproducibility and maintainability through disciplined Git-based version control and standardized file naming. This effort accelerated course readiness, provided a reusable case study for students and stakeholders, and supported evidence-based decision making in pricing experiments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
27
Activity Months1
Your Network
91 peopleWork History
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 – Delivered a complete Airbnb Price Prediction Report draft for the CausalAI-Course, including a Title Page with author, objective, methodology, and findings, plus an expanded section on strengths, weaknesses, contributions, and recommendations with emphasis on sentiment analysis and modeling approaches. Implemented structured markdown and ensured reproducibility through Git commits. No major user-facing bugs fixed; minor documentation hygiene and file-naming improvements completed to enhance maintainability. Technologies demonstrated include Markdown documentation, Git-based version control, and content storytelling around ML/analytics concepts. Business impact: accelerates course readiness, provides a ready-to-share case study for students and stakeholders, and strengthens evidence-based decision making in pricing experiments.
6 Commits • 2 Features
Nov 1, 2024November 2024 – Delivered a complete Airbnb Price Prediction Report draft for the CausalAI-Course, including a Title Page with author, objective, methodology, and findings, plus an expanded section on strengths, weaknesses, contributions, and recommendations with emphasis on sentiment analysis and modeling approaches. Implemented structured markdown and ensured reproducibility through Git commits. No major user-facing bugs fixed; minor documentation hygiene and file-naming improvements completed to enhance maintainability. Technologies demonstrated include Markdown documentation, Git-based version control, and content storytelling around ML/analytics concepts. Business impact: accelerates course readiness, provides a ready-to-share case study for students and stakeholders, and strengthens evidence-based decision making in pricing experiments.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
Data AnalysisData Analysis ReportingMachine LearningNatural Language ProcessingReport GenerationReport WritingTechnical Writing
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