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Engineer's degree (Computer Software Engineering)
2015-2021Diploma of Education (Japanese 1 - 12 Passed trough all Genki up to the JLPT N4 mock exam.)
2016-2019Big Data (- 1. Data Mining 1.1. Classification using WEKA 1.2. Knowledge Representation & Algorithms 1.3. ZeroR, OneR, Entropy, ID3, C4.5 1.4. Statistics (Naïve Bayes) 2. Knowledge Evaluation 2.1. Cross Validation 2.2. Confusion Tables and Related Metrics 3. Association and Regression 4. Clusters 5. Regression and Instance Based Learning 6. )
2018-2018Data Mining (- 1. Master: Acquisition, Parsing, Filtering, Mining, Representation, Refinement, and Interaction of Data 2. Understand the differences between statistical analysis and data mining. 3. Prepare data for mining algorithms, including training, validation, and testing. 4. Apply knowledge representation schemes such as trees, rules, regression, and clusters. 5. Classify, associate, perform regression, and create clusters. 6. Measure the performance of data mining algorithms.)
2018-2018Find contact details for 700 million professionals.