Predicting The Oscars

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.

Struggling to find relevant content? Order a custom essay on
Predicting The Oscars
Let our experts save you the hassle
Order Now
Calculate the price
Make an order in advance and get the best price
Pages (550 words)
$0.00
*Price with a welcome 15% discount applied.
Pro tip: If you want to save more money and pay the lowest price, you need to set a more extended deadline.
We know how difficult it is to be a student these days. That's why our prices are one of the most affordable on the market, and there are no hidden fees.

Instead, we offer bonuses, discounts, and free services to make your experience outstanding.
Sign up, place your order, and leave the rest to our professional paper writers in less than 2 minutes.
step 1
Upload assignment instructions
Fill out the order form and provide paper details. You can even attach screenshots or add additional instructions later. If something is not clear or missing, the writer will contact you for clarification.
s
Get personalized services with GPA Fix
One writer for all your papers
You can select one writer for all your papers. This option enhances the consistency in the quality of your assignments. Select your preferred writer from the list of writers who have handledf your previous assignments
Same paper from different writers
Are you ordering the same assignment for a friend? You can get the same paper from different writers. The goal is to produce 100% unique and original papers
Copy of sources used
Our homework writers will provide you with copies of sources used on your request. Just add the option when plaing your order
What our partners say about us
We appreciate every review and are always looking for ways to grow. See what other students think about our do my paper service.
Other
nice
Customer 452813, June 25th, 2022
Nursing
Great! Thanks again!
Customer 452707, July 4th, 2022
Strategic Management
Thank you very much for the help, really appreciate it
Customer 452821, June 27th, 2022
Nursing
Everything was done perfectly. Thank you.
Customer 452707, June 15th, 2022
Criminal Justice
Great work! Followed directions to the latter.
Customer 452485, September 1st, 2021
Classic English Literature
Nicely done. Ty. Worth every penny.
Customer 452455, June 6th, 2021
Social Work and Human Services
Great Work!
Customer 452587, September 16th, 2021
Technology
Great job on the paper!
Customer 452885, December 14th, 2022
Psychology
Thanks so very much. The paper is well-researched and adequately referenced. You have been of great help during the pandemic!
Customer 452467, January 31st, 2021
Technology
Excellent job on the paper!
Customer 452885, December 28th, 2022
Other
GOOD
Customer 452813, July 5th, 2022
Nursing
Thank you to the writer and also thank you to the support team I got an A for the paper
Customer 452635, June 17th, 2022
OUR GIFT TO YOU
15% OFF your first order
Use a coupon FIRST15 and enjoy expert help with any task at the most affordable price.
Claim my 15% OFF Order in Chat
error: Content is protected !!

Save More. Score Better. Use coupon code SPECIAL for a 15%discount