Predicting the Oscars – Assignment Help | coursefighter.com
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Description:Please download the Oscar_2000_2018.csv dataset provided.This dataset amounts to a total of 1,235 movies from 2000 to 2018, where each film has 100+ features including:It sports 20 categorical, 56 numeric, 42 items, and 1 DateTime field totaling 119 fields giving you plenty of details about various aspects of the past nominees and winners.The dataset is organized such that each record represents a unique movie identified by the field movie_id.The first 17 fields have to do with the metadata associated with each movie e.g., release_date, genre, synopsis, duration, metascore.Tasks:Part 1: EDA1. Using a scatterplot or a pair plot show the relationship between features “user_reviews” and “critic_reviews”. Find the Pearson’s correlation coefficient(r) between the 2 features.2. Plot the average “duration” per “certificate” feature. In other words, x-axis would be “certificate” and the y-axes would be the average duration.3. Plot a histogram for the “genre” feature. Note that the field “genre” needs to be split first to find the frequency for each individual genre type; “Comedy”, “Romance”, “Action” etc. (Hint: Functions like “strsplit” in R or “split” in Python can be used)Part 2: Model Building1. You are going to predict “Oscar_Best_Picture_won” feature; this will be your target variable. Remove all of the features which has the convention “Oscar_Best_XXX_won” except for the target variable “Oscar_Best_Picture_won”.2. Convert the target variable’s type to a numerical type by doing the transformation, “Yes” = 1, “No” = 0.3. Remove columns with high cardinality, i.e., for every column that has a unique value frequency of 70% or higher, remove them from the dataset.4. Perform a time split and create a training dataset spanning the period 2000-2017 and a test dataset for the movies released in 2018 – use “year” feature for the data split5. Create a tree-based model to predict the target “Oscar_Best_Picture_won”6. Use the model to predict the test dataset and find the maximum predicted valueOptional: Go back to the initial dataset and find the movie in 2018 that is associated with the maximum predicted value.
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unit 1 ip Conventional Encryption Techniques-applied cryptography – Assignment Help | coursefighter.com
/in Course Fighter Assignment Help services /by adminunit 1 ip Conventional Encryption Techniques-applied cryptography – Assignment Help | coursefighter.com
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Use a two-stage transposition technique to encrypt the following message using the key “Decrypt”. Ignore the comma and the period in the message.Message: “The Transposition cipher technique works by permuting the letters of the plaintext. It is not very secure, but it is great for learning about cryptography.”In a 3–4 page summary, discuss the following:Is it possible to decrypt the message with a different key? Justify your answer.Do you agree with the statement of the message? Why or why not? Give at least two examples that support your view.
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my two homework – Assignment Help | coursefighter.com
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Visit www.myphr.comCompare and contrast the two different methods for keeping a personal health record: paper vs. web-based.Include advantages and disadvantages of each.Address the simplicity or complexity of each of the methods.Why might certain people choose one over the other?Your comparisons should be detailed, substantial, and thorough so that it is clear that you explored the myPHR website.Your paper should:be 1-2 pages in length.properly cite research sources.be free of spelling and grammar errors.that is the first homework and the secound one is in the attachment, so two of themthank you
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Option #1: Stakeholder Influence on Project Outcomes – Assignment Help | coursefighter.com
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Search the CSU library, the Internet, or any specific websites, and scan IT industry magazines to find an example of an IT project that had problems due to organizational issues. Write a paper summarizing the key stakeholders for the project and how they influenced the outcome.Your well-written paper should meet the following requirements:two to three pages in lengthInclude two external references in addition to the textbookFormatted according to CSU-Global APA guidelines.
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Predicting the Oscars – Assignment Help | coursefighter.com
/in Course Fighter Assignment Help services /by adminPredicting the Oscars – Assignment Help | coursefighter.com
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Description:Please download the Oscar_2000_2018.csv dataset provided.This dataset amounts to a total of 1,235 movies from 2000 to 2018, where each film has 100+ features including:It sports 20 categorical, 56 numeric, 42 items, and 1 DateTime field totaling 119 fields giving you plenty of details about various aspects of the past nominees and winners.The dataset is organized such that each record represents a unique movie identified by the field movie_id.The first 17 fields have to do with the metadata associated with each movie e.g., release_date, genre, synopsis, duration, metascore.Tasks:Part 1: EDA1. Using a scatterplot or a pair plot show the relationship between features “user_reviews” and “critic_reviews”. Find the Pearson’s correlation coefficient(r) between the 2 features.2. Plot the average “duration” per “certificate” feature. In other words, x-axis would be “certificate” and the y-axes would be the average duration.3. Plot a histogram for the “genre” feature. Note that the field “genre” needs to be split first to find the frequency for each individual genre type; “Comedy”, “Romance”, “Action” etc. (Hint: Functions like “strsplit” in R or “split” in Python can be used)Part 2: Model Building1. You are going to predict “Oscar_Best_Picture_won” feature; this will be your target variable. Remove all of the features which has the convention “Oscar_Best_XXX_won” except for the target variable “Oscar_Best_Picture_won”.2. Convert the target variable’s type to a numerical type by doing the transformation, “Yes” = 1, “No” = 0.3. Remove columns with high cardinality, i.e., for every column that has a unique value frequency of 70% or higher, remove them from the dataset.4. Perform a time split and create a training dataset spanning the period 2000-2017 and a test dataset for the movies released in 2018 – use “year” feature for the data split5. Create a tree-based model to predict the target “Oscar_Best_Picture_won”6. Use the model to predict the test dataset and find the maximum predicted valueOptional: Go back to the initial dataset and find the movie in 2018 that is associated with the maximum predicted value.
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BI 15 and OE7 – Assignment Help | coursefighter.com
/in Course Fighter Assignment Help services /by adminBI 15 and OE7 – Assignment Help | coursefighter.com
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Research Apple Home Pod. How does it interact with smart home devices?Alexa is now connected to smart home devices such as thermostats and microwaves.Find examples of other appliances that are connected to Alexa and write a report.1 page with referenceswe focus on some additional terms for IT users. lets discuss what a community of practice is. Why are they important and how can they impact the culture within an organization?1 page with references
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