Description Assignment Details Creating a pipeline that ingests data, stores data, cleans and prepares data, and makes predictions is common within a big data ecosystem. Many companies do this on a very large scale and across many business functions and products. During Week 5, you will construct an end-to-end solution that ingests, stores, and predicts market orders. The data to use are located at this link. The project deliverables include the following: Ingest the data from this link using tools such as Python. Construct a predictive analytics solution using Python libraries (such as Scikit-Learn) to predict future market orders. ⚫ The submission should include the code to connect, ingest, predict, and interpret. • Provide the code and a discussion on the aspects of design, including end point connection, the ingest approach, the prediction algorithm, and interpretation. 。 Additionally, discuss how the algorithm could be optimized, such as with feature engineering. ⚫ Once complete, submit your assignment for grading in Microsoft Word document. Please submit your assignment. For assistance with your assignment, please use your textbook and all course resources.

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