sumsur/Predictions-of-Apple-prices-with-Machine-Learning

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sumsur/Predictions-of-Apple-prices-with-Machine-Learning

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Stock Price Prediction Using Python & Machine Learning (LSTM)

Light-tails-of-claims

It is particularly important to describe the allocations that characterize or track the amounts of insurance claims. In doing so, it is important to distinguish between small claims and large claims. We are working here with small claims (in not so catastrophic situations).

Prediction-of-Quality-of-wine

Statistical-errors-type-1-and-type-2

In statistical theory, the notion of a statistical error is an integral part of hypothesis testing.

Violin-plot-vs-Box-plot-in-Python

Insurance companies are particularly interested in the density of claims that are received, which can be large at the end of each month. For this question, descriptive statistics method, such as violin plot, shows the density of distribution occupied by the observed data. This method is similar to the box plot analysis, but there are several differences. Violin plot is a method of plotting numeric data, while a box plot only shows summary statistics such as mean/median and interquartile ranges. The violin plot shows the full distribution of the data. The difference is particularly useful when the data distribution is multimodal (more than one peak), such in this case. So, I analysed database on the number of reported motor insurance claims for the period January 2007 - December 2017 to the Danube insurance company, whose source is the National Bank's website. This project shows a violin plot/box plot analysis of received insurance claims.

Covid19_Serbia

Excel spreadsheet has not yet been prepared for Serbia, on the basis of which a model of progression of viral infection progression by days could be made, as well as a model for predicting its future course due to the measures that are implemented from the Government . That is why this code aims to create a model of the virus infection by day and a model of prognosis due to the applied measures of the Government , with the Excel spreadsheet built independently.

Error-bars-in-Python

Insurance companies are particularly interested in the density of claims that are received, which can be large at the end of each month. In that case, it is really important to see what confident intervals can be, when we are talking about amounts of claim requests. This is why we can use error bars.

Bars-like-violin-plots

Scatter-plot-with-histograms

Scatter plots can be made in databases. Working with data includes sometimes knowledge about particular distribution that is following data. Here we are going to do scatter plot analysis, to compare requested loan amount with approved loan amount.