Merge pull request #68 from DiogoRibeiro7/feat/reserve_branche

Feat/reserve branche

Author: DiogoRibeiro7

_posts/-_ideas/2030-01-01-climate_change.md

@@ -5,8 +5,7 @@ categories:
 - Data Science
 classes: wide
 date: '2030-01-01'
-excerpt: Explore how data science, machine learning, and big data are critical tools
-  in addressing climate change and promoting sustainability.
+excerpt: Explore how data science, machine learning, and big data are critical tools in addressing climate change and promoting sustainability.
 header:
   image: /assets/images/data_science_9.jpg
   og_image: /assets/images/data_science_9.jpg
@@ -20,12 +19,10 @@ keywords:
 - Machine Learning
 - Sustainability
 - Big Data
-seo_description: An in-depth look at how data science, big data, and machine learning
-  can help solve climate change and sustainability challenges.
+seo_description: An in-depth look at how data science, big data, and machine learning can help solve climate change and sustainability challenges.
 seo_title: 'Climate Change and Data Science: Solving Global Problems'
 seo_type: article
-summary: This article provides a comprehensive list of potential topics at the intersection
-  of climate change, sustainability, and data science.
+summary: This article provides a comprehensive list of potential topics at the intersection of climate change, sustainability, and data science.
 tags:
 - Climate Change
 - Sustainability

_posts/-_ideas/2030-01-01-data_model_drift.md

@@ -8,6 +8,7 @@ header:
   teaser: /assets/images/data_science_2.jpg
   twitter_image: /assets/images/data_science_8.jpg
 seo_type: article
+tags: []
 ---
 
 ## Article Ideas on Data Drift and Model Drift

_posts/-_ideas/2030-01-01-elderly_care.md

@@ -8,6 +8,7 @@ header:
   teaser: /assets/images/data_science_5.jpg
   twitter_image: /assets/images/data_science_6.jpg
 seo_type: article
+tags: []
 ---
 
 ### 3. Improving Elderly Mental Health with Machine Learning and Data Analytics

_posts/-_ideas/2030-01-01-future_articles_time_series.md

@@ -8,6 +8,7 @@ header:
   teaser: /assets/images/data_science_3.jpg
   twitter_image: /assets/images/data_science_1.jpg
 seo_type: article
+tags: []
 ---
 
 ## Article Ideas for Time Series and Forecasting

_posts/-_ideas/2030-01-01-health_articles.md

@@ -8,6 +8,7 @@ header:
   teaser: /assets/images/data_science_5.jpg
   twitter_image: /assets/images/data_science_6.jpg
 seo_type: article
+tags: []
 ---
 
 ## Article Ideas on Health and the Role of Data Science, Big Data, and Machine Learning

_posts/-_ideas/2030-01-01-ideas_statistical_tests.md

@@ -6,8 +6,7 @@ categories:
 - Hypothesis Testing
 classes: wide
 date: '2030-01-01'
-excerpt: A list of 15 article ideas covering statistical tests, ranging from ANOVA
-  and Kruskal-Wallis to non-parametric tests and power analysis.
+excerpt: A list of 15 article ideas covering statistical tests, ranging from ANOVA and Kruskal-Wallis to non-parametric tests and power analysis.
 header:
   image: /assets/images/data_science_3.jpg
   og_image: /assets/images/data_science_2.jpg
@@ -21,12 +20,10 @@ keywords:
 - Kruskal-Wallis
 - Data Analysis
 - Hypothesis Testing
-seo_description: Explore 15 ideas for writing articles on various statistical tests,
-  including their differences, assumptions, and applications in data analysis.
+seo_description: Explore 15 ideas for writing articles on various statistical tests, including their differences, assumptions, and applications in data analysis.
 seo_title: '15 Article Ideas: Writing about Statistical Tests'
 seo_type: article
-summary: This article provides 15 ideas for articles on statistical tests, including
-  their use cases, assumptions, and applications in real-world data analysis.
+summary: This article provides 15 ideas for articles on statistical tests, including their use cases, assumptions, and applications in real-world data analysis.
 tags:
 - ANOVA
 - Hypothesis Testing

_posts/-_ideas/2030-01-01-new_articles_topics.md

@@ -8,6 +8,7 @@ header:
   teaser: /assets/images/data_science_9.jpg
   twitter_image: /assets/images/data_science_9.jpg
 seo_type: article
+tags: []
 ---
 
 ## Article Ideas on Predictive Maintenance and the Role of Data Science, Big Data, and Machine Learning

_posts/-_ideas/2030-01-21-PhD_Work_plan.md

@@ -8,6 +8,7 @@ header:
   teaser: /assets/images/data_science_6.jpg
   twitter_image: /assets/images/data_science_6.jpg
 seo_type: article
+tags: []
 ---
 
 # PhD Investigation Work Plan: Applications of Mathematics and Machine Learning in Health

_posts/-_ideas/bi_ds_ml_bs.md

@@ -1,3 +1,7 @@
+---
+tags: []
+---
+
 # Article Ideas on the Relationship Between Business Intelligence, Machine Learning, Data Science, and Business Strategy
 
 

_posts/2020-01-01-causality_and_correlation.md

@@ -4,8 +4,7 @@ categories:
 - Statistics
 classes: wide
 date: '2020-01-01'
-excerpt: Understand how causal reasoning helps us move beyond correlation, resolving
-  paradoxes and leading to more accurate insights from data analysis.
+excerpt: Understand how causal reasoning helps us move beyond correlation, resolving paradoxes and leading to more accurate insights from data analysis.
 header:
   image: /assets/images/data_science_4.jpg
   og_image: /assets/images/data_science_1.jpg
@@ -14,25 +13,21 @@ header:
   teaser: /assets/images/data_science_4.jpg
   twitter_image: /assets/images/data_science_1.jpg
 keywords:
+- Simpson's Paradox
 - Causality
+- Berkson's Paradox
 - Correlation
 - Data Science
-- Simpson's Paradox
-- Berkson's Paradox
-seo_description: Explore how causal reasoning, through paradoxes like Simpson's and
-  Berkson's, can help us avoid the common pitfalls of interpreting data solely based
-  on correlation.
+seo_description: Explore how causal reasoning, through paradoxes like Simpson's and Berkson's, can help us avoid the common pitfalls of interpreting data solely based on correlation.
 seo_title: 'Causality Beyond Correlation: Understanding Paradoxes and Causal Graphs'
 seo_type: article
-summary: An in-depth exploration of the limits of correlation in data interpretation,
-  highlighting Simpson's and Berkson's paradoxes and introducing causal graphs as
-  a tool for uncovering true causal relationships.
+summary: An in-depth exploration of the limits of correlation in data interpretation, highlighting Simpson's and Berkson's paradoxes and introducing causal graphs as a tool for uncovering true causal relationships.
 tags:
-- Causal Inference
-- Correlation
-- Data Science
 - Simpson's Paradox
 - Berkson's Paradox
+- Correlation
+- Data Science
+- Causal Inference
 title: 'Causality Beyond Correlation: Simpson''s and Berkson''s Paradoxes'
 ---