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dash-tsne
Dash Demo App - t-SNE Explorer:Predictive-Maintenance
Optimize maintenance schedule for gas turbineSimple-Moving-Average
Algorithmic Trading with Python: Simple Moving AverageMarketing_Mix_Modeling
Building Bayesian Hierarchical Linear Models and Conventional Linear Regressions to Understand How Historical Market Activities and Promotions Affects the Sales of the Items for Fast Food Chain RestaurantsP2-Investigate-a-Dataset
Udacity Data Analyst Nanodegree: Project 2-Investigate a Dataset For the final project, you will conduct your own data analysis and create a file to share that documents your findings. You should start by taking a look at your dataset and brainstorming what questions you could answer using it. Then you should use Pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers. You will not be required to use statistics or machine learning to complete this project, but you should make it clear in your communications that your findings are tentative. This project is open-ended in that we are not looking for one right answer.Love Open Source and this site? Check out how you can help us