I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
\
Justin Szaday jszaday
monocongo
/ transform_to_supervised.py
Created
July 26, 2018 12:58
Transform multivariate time series forecasting problems into supervised learning problems (Pandas DataFrame transformation)
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| import pandas as pd | |
| def transform_to_supervised(df, | |
| previous_steps=1, | |
| forecast_steps=1, | |
| dropnan=True): | |
| """ | |
| Transforms a DataFrame containing time series data into a DataFrame | |
| containing data suitable for use as a supervised learning problem. |
crittelmeyer
/ Safety pig
Created
December 22, 2014 18:13
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| _ | |
| _._ _..._ .-', _.._(`)) | |
| '-. ` ' /-._.-' ',/ | |
| ) \ '. | |
| / _ _ | \ | |
| | a a / | | |
| \ .-. ; | |
| '-('' ).-' ,' ; | |
| '-; | .' | |
| \ \ / |
sterin
/ CMakeLists.txt
Last active
November 7, 2022 12:28
An example showing how to use sub interpreters and threads in Python
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| cmake_minimum_required(VERSION 2.8.4) | |
| project(py1) | |
| find_package(PythonLibs REQUIRED) | |
| include_directories(${PYTHON_INCLUDE_DIRS}) | |
| ADD_DEFINITIONS( -std=c++11 ) | |
| set(SOURCE_FILES main.cpp) |
tsiege
/ The Technical Interview Cheat Sheet.md
Last active
June 28, 2024 10:38
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.