Plotly Express 등장

Source : https://medium.com/@plotlygraphs/introducing-plotly-express-808df010143d Plotly Express is new high-level Python visualization library: it’s wrapper for <a href="https://plot.ly/python/" data-href="https://plot.ly/python/" class="markup--anchor markup--p-anchor" rel="nofollow noopener noreferrer" target="_blank" style="background-color: transparent; color: inherit; text-decoration: none; -webkit-tap-highlight-color: rgba(0, 0, 0, 0.541176); background-image: url("data:image/svg+xml; utf8, "); background-size: 1px 1px; background-position: 0px calc(1em + 1px); background-repeat: repeat no-repeat">Plotly.py that exposes a simple syntax for complex charts. …

The Mathematics of Machine Learning

In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I have observed that some actually lack the necessary mathematical intuition and framework to get useful …

What is a Random Forest?

A random forest is an ensemble of decision trees. Like other machine-learning techniques, random forests use training data to learn to make predictions. One of the drawbacks of learning with a single tree is the problem of overfitting. Single trees tend to learn the training data too well, resulting in poor prediction performance on unseen data. This is also known as variance and …

Preserving Memory in Stationary Time Series

출처 : https://towardsdatascience.com/preserving-memory-in-stationary-time-series-6842f7581800 Many predictive models require a certain consistency of time series called stationarity. The usual transformation, namely integer order differencing (in Finance e.g. modelling returns instead of absolute prices), eliminates memory in the data and hence affects the predictive power of the modelling. This article outlines how fractional calculus allows to retain more information …

How to read PCA biplots and scree plots

Source : https://blog.bioturing.com/2018/06/18/how-to-read-pca-biplots-and-scree-plots/ Principal component analysis (PCA) has been gaining popularity as a tool to bring out strong patterns from complex biological datasets. We have answered the question “What is a PCA?” in this jargon-free blog post — check it out for a simple explanation of how PCA works. In a nutshell, PCA capture the essence of …

데이터기반 고객경험분석 사례 2 – 고객 흔적 투이컨설팅 최지영 이사   고객은 필요하거나 이득이 생길 때에만, 자신의 상태 변경을 알려 준다. 청구서를 우편으로 받고 있지 않다면, 이사간 사실을 신고하지 않는다. 신용등급을 조정하여 기존 대출의 금리 인하를 요구할 상황이 아니라면, 승진이나 연봉 인상 사실을 신고하지 않는다. 회사 입장에서는 고객의 상태 변경을 파악하는 것이 매우 중요하다. 고객이 …