Acquisition of past power consumption Kyushu Electric Power Edition
# Introduction I was holding a seminar on electricity usage forecast, and I heard that it is difficult to obtain it because the format of the past electricity consumption published by each electric
Exclude specified cases with Python unittest
## Summary * Write a way to limit the target classes to discover with unittest. * In the first half, write down when you will need it. * In the second half, we will write the code. * There is a c
I implemented a method to calculate the evaluation index (specificity, NPV) that scikit-learn does not have
# Introduction When I tried to calculate the index described in a certain paper with scikit-learn, there was a method to calculate sensitivity and recall independently, but classification_report is o
Visualize 2ch threads with WordCloud-Scraping-
## Introduction 2ch is a well-known anonymous bulletin board system and boasts a huge amount of information. However, if you read each thread less, it will take an enormous amount of time to get the
I tried to build the SD boot image of LicheePi Nano
LicheePi Nano Sipeed's small, cheap SBC. Purchased at [Akizuki Denshi](https://akizukidenshi.com/catalog/g/gM-14787/) and [Switch Science](https://www.switch-science.com/catalog/5705/) in Japan it c
Data science 100 knock commentary (P081 ~ 100)
# 1.First of all Continuing from the last time, I will explain 100 knocks of data science. [Data science 100 knock commentary (P001 ~ 020)](https://qiita.com/ProgramWataru/items/42ff579a3cdb4f0ad158
Acquisition of past electricity usage Okinawa Electric Power Edition
# Introduction I was holding a seminar on electricity usage forecast, and I heard that it is difficult to obtain it because the format of the past electricity consumption published by each electric
A python implementation of the Bayesian linear regression class
# Introduction I was worried that there are not many Bayesian linear regressions of the correct implementation in the world, and there are few implementations that support multidimensional input, so
RHCSA test preparation --General flow until using a physical drive as a data storage area on Linux OS (advanced version / when using LVM)
<H2> RHCSA test preparation --General flow until using a physical drive as a data storage area on Linux OS (advanced version / when using LVM) </ H2> This article is a sequel to the following page,
How to use partial
# Trigger The partial that appeared in [The code of the 1st place in the Mercari competition](https://www.kaggle.com/lopuhin/mercari-golf-0-3875-cv-in-75-loc-1900-s "Qiita") I didn't really understan
RHCSA test preparation --General flow until using a physical drive as a data storage area on Linux OS (Basic)
<H2> RHCSA test preparation --General flow until using a physical drive as a data storage area on Linux OS (Basic) </ H2> <H3> Introduction </ H3> On the Linux OS, there are commands for various di
AtCoder Beginners Selection Experience (2nd time)
# AtCoder Beginners Selection Experience (2nd time) The code in [AtCoder Beginners Selection Experience](https://qiita.com/c-yan/items/cf1c6ee6f06c0df9773b) doesn't work anymore in Python 2, so I tr
Inside / outside judgment with Python ➁: About donut-shaped polygons
# Thing you want to do For the following donut-shaped polygon shp files, we have organized how to judge the inside and outside of any point.  I made an app from Trello that periodically notifies slack of tasks that are about to expire.
# Preamble Our team uses Trello to manage the tasks that everyone has to do. (Tasks are listed on the card, personal names are listed on the checklist, and ☑ is added to those who have completed the
If you guys in the scope kitchen can do it with a margin ~ ♪
## Part 1 ```python a: (a := lambda: print("hello"))() = 1 ``` ## Part 2 ```python [f() for i in range(10) for f in [lambda: print(i)]] ``` ## Part 3 ```python i = 2 def f() -> (g := lambda: print
Solving AOJ's Algorithm and Introduction to Data Structures in Python -Part4-
# Introduction Hello. It's chewy and chewy. We will solve the introduction to AOJ's algorithms and data structures. It's easy to keep a record of what you've learned. It's been less than half a y
Use Chinese fanless NAS with OpenWRT (LEDE)
# Introduction When converting a Chinese fanless NAS to Linux and operating it as an "always-start power-saving Linux server" I'm addicted to various things, so I'll expose the memo. What I did is
Drop all CSV files under any directory into DataFrame
If you have a large number of CSV files that you want to drop into DataFrame You can define a DataFrame with the variable name "filename_df" by using the following command. <pre> import os import p
Installation method when using RealSense from Python (pyenv edition)
If you refer to [this link](https://github.com/IntelRealSense/librealsense/issues/5275#issuecomment-555830996) when using RealSense, it will work, but using pyenv is a bit of a hassle. I needed it, s
CentOS8 ＋ Apache2.4 ＋ pyenv ＋ mod_wsgi ＋ Django project deployment
I had a hard time so I made a note. # Premise --Create a virtual CentOS8 environment using VMware and build a Web server there. --The Django project has been created. Use a shared folder or FTP t
PyTorch Tensor max, min specifications are inconvenient
# Introduction PyTorch's Tensor can basically be treated like NumPy's ndarray, but there are some differences. In particular, `max ()` and `min ()`, which find the maximum and minimum values of Ten
Make sure to align the pre-processing at the time of forecast model creation and forecast
# Introduction It's nice to create a predictive model, but when predicting, do you make it exactly the same as the prerequisites for creating the model? Talk. It seems to be a very important story in
Linebot "Kaongakun" that reads music that suits your mood from your facial expressions and proposes it.
<h1> Background of making Linebot </ h1> "I want to make something using image recognition AI ..." "I want to make a music proposal app using the Spotify API ..." "Saya! Make an app that sugges
Super (concise) summary of image classification by ArcFace
# Introduction In this article, I will briefly summarize the outline of image classification using ArcFace. The theoretical background and code will be shown on the reference site as appropriate, so
Codeforces Round # 648 (Div. 2) Bacha Review (9/5)
# This time's results  # Impressions of this time
[2020 version] Development procedure for personal crawlers and precautions
# Introduction The purpose of this article is to help anyone interested in automating web content collection develop the ideal crawler. To that end, here are 12 steps to developing a crawler. A craw
Can Machine Learning Predict Parallelograms? (2) What happens when extrapolation is done even though it looks like interpolation? ??
Previous article [Can machine learning predict parallelograms? (1) Can it be extrapolated? ](Https://qiita.com/motoyuki1963/items/0f8758599c08030e2393) I thought I wrote the previous article, but
Create Cognito user list in S3 with SQS Deploy queue function and API to Lambda with SAM
The title is inconvenient in Japanese, but I will set it in order. Build a function on Lambda that automatically creates a CSV file of the user list managed by AWS Cognito on S3. Set SQS as the t
Improve your reading comprehension in English related to Python and AI (Because if you feel the opposite meaning, your heart will break ... Note: however, ...)
# Purpose ** Nowadays **, it is very delicate whether you can learn English. .. .. I want to avoid further deterioration of my English! !! !! ⇒ Write an article as a slight resistance. (The correct
Learn from the winning code-Mercari Competition ①-
# Introduction When studying Kaggle, I decided to study from the code of the person who won the first place in the past competition, so this time [Mercari Competition](https://www.kaggle.com/c/mercar