5 kyu
Data mining #1
439smiks
Description:
Your task is to build a model1 which can predict y-coordinate.
You can pass tests if predicted y-coordinates are inside error margin.
You will receive train set which should be used to build a model.
After you build a model tests will call function predict and pass x to it.
Error is going to be calculated with RMSE.
Blocked libraries: sklearn, pandas, tensorflow, numpy, scipy
Explanation
[1] A mining model is created by applying an algorithm to data, but it is more than an algorithm or a metadata container: it is a set of data, statistics, and patterns that can be applied to new data to generate predictions and make inferences about relationships.
Mathematics
Machine Learning
Algorithms
Data Science
Similar Kata:
Stats:
| Created | Apr 20, 2017 |
| Published | Apr 20, 2017 |
| Warriors Trained | 2767 |
| Total Skips | 78 |
| Total Code Submissions | 5020 |
| Total Times Completed | 439 |
| Python Completions | 439 |
| Total Stars | 137 |
| % of votes with a positive feedback rating | 81% of 75 |
| Total "Very Satisfied" Votes | 52 |
| Total "Somewhat Satisfied" Votes | 18 |
| Total "Not Satisfied" Votes | 5 |
| Total Rank Assessments | 6 |
| Average Assessed Rank | 5 kyu |
| Highest Assessed Rank | 5 kyu |
| Lowest Assessed Rank | 6 kyu |
