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classification\n\nPredicting wages\nGender wage gap\nThe effect of gun ownership on homicide rates\nlogistic regression the challenger disaster\n\n\n\nWeek 11: Learning break\n-------------------------------------------------------------------------------\n\n\n\nWeek 12: Practical data science\n-------------------------------------------------------------------------------\n\n* Decision trees\n* Random forests\n* Support vector machines\n* Perceptron\n* Time series (introduction)\n\n\nWeek 13: Deep Learning\n-------------------------------------------------------------------------------\n\n* Intro to neural networks\n* Convolutional neural networks\n* Transformers\n\nostrich example\n\nWeek 14: Recommendation Systems\n-------------------------------------------------------------------------------\n\n* Intro to recommendation systems\n* Matrix\n* Tensor, NN for recommendation systems\n\nrecomending movies\nrecomending new songs\nmake new product recommendations\n\nWeek 15: Learning break\n-------------------------------------------------------------------------------\n\n\nWeek 16-18: Capstone project\n-------------------------------------------------------------------------------\n\n* Networks: important nodes and edges, clustering\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjdvelasq%2Fcourses","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjdvelasq%2Fcourses","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjdvelasq%2Fcourses/lists"}