Davidglezc
I´m a passionate younger of the world of Data with a lot to learn. I leave you here some works for you to take a look of them.
Madrid, Spain
Pinned Repositories
3-Exercise-AI
It contains three exercise of artifical intelligence.
Air-BNB-Milan-2019
Analysis about the Air Bnb of the city of Milan in 2019.
COMPAS-System
Every day the introduction of data science in the field of law and justice is more frequent. A well-known example of this is the COMPAS (Correctional offender management profiling for alternative sanctions) system that is used in several states in the United States to assess the risk of recidivism of detainees.
Davidglezc
Config files for my GitHub profile.
Deep-learning
Firemen-Madrid
Exercise about the activity of Madrid´s firemen according to different risks. The target is to analyze and predict the multiple risks. On the one hand, I have made a RMD file with the different statistics and visualizations. On the other hand, I´ve made a document explaining it.
indicators-on-world-bureaucracy
A case is proposed based on data from the World Bank Group. In this case, the set of indicators on world bureaucracy will be used. World Bureaucracy Indicators (WWBI) are a set of data on public sector employment and wages that can help development researchers and practitioners gain a better understanding of the size of staff hired by states, the footprint the public sector in the general labor market and the fiscal implications of the government wage bill. WWBI's goal is to fill the information gap on state personnel by providing more objective measures based on administrative data and household surveys, which will complement existing approaches based on expert insight. This data set is extracted from the group of public datasets of the World bank Group.
ML-Retail-Business
The target in this case, is to create a model of machine learning to know the behaviour of users. What is required is an end-to-end model such as those seen in practice in the module. In this case, you have to apply three models and choose the best one, but the previous part is common to all three.
World-Happiness-Score
The World Happiness Report is a landmark survey on the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 update. The World Happiness 2017, which ranks 155 countries according to their levels of happiness, was launched at the United Nations in a event that celebrates the international day of happiness on March 20. The report continues to gain global recognition as happiness indicators are increasingly used by governments, organizations, and civil society to inform their policy-making decisions. Leading experts in all fields - economics, psychology, survey analysis, national statistics, health, public policy, and more - describe how measures of well-being can be used effectively to assess the progress of nations.
Davidglezc's Repositories
Davidglezc/ML-Retail-Business
The target in this case, is to create a model of machine learning to know the behaviour of users. What is required is an end-to-end model such as those seen in practice in the module. In this case, you have to apply three models and choose the best one, but the previous part is common to all three.
Davidglezc/3-Exercise-AI
It contains three exercise of artifical intelligence.
Davidglezc/Air-BNB-Milan-2019
Analysis about the Air Bnb of the city of Milan in 2019.
Davidglezc/COMPAS-System
Every day the introduction of data science in the field of law and justice is more frequent. A well-known example of this is the COMPAS (Correctional offender management profiling for alternative sanctions) system that is used in several states in the United States to assess the risk of recidivism of detainees.
Davidglezc/Deep-learning
Davidglezc/Firemen-Madrid
Exercise about the activity of Madrid´s firemen according to different risks. The target is to analyze and predict the multiple risks. On the one hand, I have made a RMD file with the different statistics and visualizations. On the other hand, I´ve made a document explaining it.
Davidglezc/indicators-on-world-bureaucracy
A case is proposed based on data from the World Bank Group. In this case, the set of indicators on world bureaucracy will be used. World Bureaucracy Indicators (WWBI) are a set of data on public sector employment and wages that can help development researchers and practitioners gain a better understanding of the size of staff hired by states, the footprint the public sector in the general labor market and the fiscal implications of the government wage bill. WWBI's goal is to fill the information gap on state personnel by providing more objective measures based on administrative data and household surveys, which will complement existing approaches based on expert insight. This data set is extracted from the group of public datasets of the World bank Group.
Davidglezc/World-Happiness-Score
The World Happiness Report is a landmark survey on the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 update. The World Happiness 2017, which ranks 155 countries according to their levels of happiness, was launched at the United Nations in a event that celebrates the international day of happiness on March 20. The report continues to gain global recognition as happiness indicators are increasingly used by governments, organizations, and civil society to inform their policy-making decisions. Leading experts in all fields - economics, psychology, survey analysis, national statistics, health, public policy, and more - describe how measures of well-being can be used effectively to assess the progress of nations.
Davidglezc/Davidglezc
Config files for my GitHub profile.