Enroll to learn more, complete the course and claim your badge! In this capstone project, you'lluse a Deep Learning library ofyour choice to develop, train, and test a Deep Learning model. Loadand preprocess data for a real problem, build the model and then validate it. Finally, you will present a project report to demonstrate the validity of yourmodel andyour proficiency in the field of deep learning. Receive an instructor-signed certificate with the institution's logo to verify your achievement and increase your job prospects.
Machine Learning in Python Bootcamp with 5 Capstone Projects
Harvard EdX Online Data Science Program FAQ: Cost, Reviews, and Courses
This course is part of our Professional Certificate Program in Data Science and we recommend the preceding courses in the series as prerequisites. Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.
Big Data Capstone Project
Enroll to learn more, complete the course and claim your badge! Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market. Upon being reported, various agencies in New York get assigned to resolve these problems. On investigation, one can see that in the last few years the complaints coming to the Department of Housing Preservation and Development in New York City have increased significantly.
To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning. Unlike the rest of our Professional Certificate Program in Data Science , in this course, you will receive much less guidance from the instructors.