Esdras A.

Esdras A.

Mexico CityMexico

Data science, analytics, R, Visualization and extract of data

Management, extraction and data analysis. Administration and management of databases. Statistical models. Forecasting. Data visualization. Text mining. Machine Learning. Big Data. Google Cloud.
Rating is 4.7 out of 5.
4.70 Mar 29, 2022 - Apr 18, 2022
Private earnings

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Portfolio

To determine wich social and academics variables influence on the ICFES score performance of the graduated students in a college of Pereira city. Specifically in math. To determine what relationship is presented among the social conditions with the ICFES score. Establish what relationshipis presented among the ratings of the subjects that have math with the ICFES score.
Influence of social and academic conditions on the mathematics score
To identify the topics in different artist tweets through different periods of time. Distinguish the most expressed sentiments by the artists. Decide the correlation of the most frequent themes between de selected artists.
Text mining project
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Esdras A.

Esdras A.

Mexico CityMexico
2
Total Jobs

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Data science, analytics, R, Visualization and extract of data

Specializes in
Management, extraction and data analysis. Administration and management of databases. Statistical models. Forecasting. Data visualization. Text mining. Machine Learning. Big Data. Google Cloud.
Rating is 4.7 out of 5.
4.70 Mar 29, 2022 - Apr 18, 2022
Private earnings

Esdras A. has more jobs. Create an account to review them

Portfolio

To determine wich social and academics variables influence on the ICFES score performance of the graduated students in a college of Pereira city. Specifically in math. To determine what relationship is presented among the social conditions with the ICFES score. Establish what relationshipis presented among the ratings of the subjects that have math with the ICFES score.
Influence of social and academic conditions on the mathematics score
To identify the topics in different artist tweets through different periods of time. Distinguish the most expressed sentiments by the artists. Decide the correlation of the most frequent themes between de selected artists.
Text mining project
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More than 30 hrs/week