fOR KEYNOWS

THIS IS CONNECTED TO THE LAST ASSIGNMENT POSTED 

Submit a one-paragraph summary identifying the struggling company that you have chosen from the list of suggested companies within the Final Project Two Guidelines and Rubric document. As part of your summary, explain briefly why the company is struggling. This assignment is non-graded but required, as your instructor will need to approve your choice. 

Toyota

WorldCom

Enron

Motorola

Eastman Kodak

• Posted: 4 years ago
• Due: 08/01/2016
• Budget: $5

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Data Understanding: Conduct a thorough EDA to gain a better understanding of the

given data and business objectives. This includes but not limited to: checking/dealing with

missing data and outliers if any; top popular items sold and their characteristics;

recommendation and rating patterns across departments and product types. buying and

reviewing behavior of different age groups, etc. Carefully present your analysis and

findings in your report.

Build a Benchmark Model to Predict Recommendation: Build a simple logistic

regression model to assess the feasibility of recommendation prediction and establish a

baseline model. For this task, you are required to build your baseline model using bag of

words of the review text only. Use scikit-learn’s logistic regression model with “solver”

set to ‘liblinear’ and all other parameters set to default. Use scikit-learn’s CountVectorizer

with “max_features” set to 500 and all other parameters set to default. You need to choose

appropriate evaluation metrics and model evaluation strategies to validate your model.

Present your analysis and discuss your findings.

Improving Your Benchmark Model: You are required to make attempts to improve the

performance of your benchmark model as much as you can. You should consider using

more advanced feature engineering techniques and adding extra features to rebuild your

model. Your choice of decisions should be justified based on the evidence from the data

and accompanied by detailed explanation. You must properly validate your model and

optimize appropriate hyperparameters that apply. Simply building a model without any

consideration of validation and optimisation does not meet the minimum requirements.

You should demonstrate evidence of your efforts and you will be assessed based on the

depth of your exploration. Provide a summary of what has worked and what has not.

Report on your improved models and make comparisons with the benchmark model.

Attachments:

product-test-….csv

product-train….csv

buss6002-2020….pdf

screenshot-20….jpg

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Paper instructions:

For your Unit 5 assignment, you are to research and write about your company’s (Johnson and Johnson) Information Management System and respond to the following questions. You can research your responses in your textbook, in the Capella library, and on the Internet: Describe their information management system (IMS).

Does their IMS give them a competitive advantage over their competition?

How does the IMS help coordinate between supply chain partners?

Explain how the IMS helps monitor orders and inventory levels, and satisfy customers.

Explain why managing information is equally or more important to the company than moving products. CLICK HERE TO GET MORE ON THIS PAPER !!!

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Compare and contrast psychology with other natural sciences, such as biology, chemistry, and physics, and with pseudosciences, such as astrology.

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