確率・統計学 About events, probabilities and random variables.
In this article, we will discuss events, probabilities, and random variables. It also describes conditional probabilities, Bayes' theorem, and expected values and variances.
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確率・統計学 
確率・統計学 Derivation of Spearman’s rank correlation coefficient and example calculation using python
Correlation coefficients are often used as a method of summarizing relationships between data. There are different types of correlation coefficients, and one is called a rank correlation coefficient, which is used in cases where only the order of the data is known. In this article, I will focus on Spearman's rank correlation coefficient in particular, and describe its derivation and examples of calculations using python.
確率・統計学 【Multivariate Data】 Scatter Plots and Correlation Coefficients
In this article, I will discuss scatter plots and scatter plot matrices as a basic way to handle multivariate data, and correlation coefficients, rank correlation coefficients, and variance-covariance matrices as a method of summarization.
確率・統計学 How To Handle Univariate Data Histograms and Box Plots
This article describes how to create summary statistics such as mean and variance, histograms and box-and-whisker plots to visually capture characteristics of univariate data. The program used is described in python, which you can try in Google Colab below.
機械学習 ROC Curve and AUR, Implementation with Python
The ROC curve uses TPR (true positive rate (= recall)) and FPR (false positive rate). This article explains the ROC curve and AUR and provides a python implementation.
プログラミング 【Python】Fill In Data With Intervals Between Dates And Times In Pandas.
This section describes how to fill in data intervals for data that are separated by intervals of time. To fill in the interval between dates and times, use the asfreq function in pandas.
プログラミング 【Python】Creating A List Of Consecutive Dates And Times In Pandas.
This section describes how to create a list of consecutive dates and times in python. The policy is to use the pandas date_range function.
機械学習 Classification Evaluation Indicators: Accuracy, Precision, Recall, F-measure
The course will explain the confusion matrix to visualize the classification results and the classification evaluation indices such as Accuracy, Precision, Recall, and F-measure
機械学習 Implementation Of K-means Method, Elbow Method, Silhouette Analysis
This article describes how the k-means method works and how it is implemented. In addition, the k-means method requires that the number of clusters to be classified be given in advance, and the elbow method and silhouette analysis are introduced as methods for determining the optimal number of clusters.
機械学習 How to install and use labelImg
The tool labelImg makes it easy to create training image datasets for object detection, such as YOLO. This article describes how to install and use labelImg.
