In the following shortened survey report, identify the population, the sample, the results, and whether the results represent a sample statistic or a population parameter. A medical study at UF followed 500 cancer patients who received a new experimental drug.  76\% of those who received the drug experienced a quicker recovery than those who did not receive the drug. (Type your answers in the text box here, and include any work in your File Upload – although work does not need to be submitted for this particular question for full credit)

Anyone from the following two: Explain Supervised Learning in detail with any use case.   OR How to collect data from the data source and what type of data source is available, explain with an example.

Anyone from the following two: What is the ML pipeline process phase of Feature engineering? Explain briefly, with an example. OR Describe Encoding ordinal data as an example.

Anyone from the following two: Describe the ETL process with any ETL tool/ service of your choice. OR Which are ML pipeline processes phase-2 and phase-3? Explain briefly.

Attend any one from the following two: What is NLP? Describe any two use cases of NLP OR Describe the main challenges of NLP 

Answer any one from the following two Why splitting and holding out data is required, in the ML process? Explain with an example OR How K-fold cross-validation can help you In the ML process? Explain with an example

Attend any one of the following two: Explain the NLP model “Bag of words” with an example scenario OR  Explain the NLP model “Term frequency and inverse document frequency (TF-IDF)” with an example scenario

Attend any one of the following two: Explain the NLP model “Bag of words” with an example scenario OR  Explain the NLP model “Term frequency and inverse document frequency (TF-IDF)” with an example scenario

Answer any one from the following two How “Time series handling for Missing data” can be done in real-world forecasting problems? OR Write on any one “Amazon Forecast evaluation metric” with an example

Answer any one from the following two Explain the “Confusion matrix” with an example   OR How the “Sensitivity” and “Specificity” can help with model tuning? Explain with an example