It is important to organize the sample of data so that the observations when modeling best indicate the problem. At , the data set may contain extreme values, unlike other data, beyond expectations. This is called outliers, and machine learning models and model techniques can be improved by understanding and eliminating these outliers. This tutorial describes how to detect outliers and identify and remove outliers in machine learning datasets.
Outliers are data points that fall well out of the range of where you expect the data to be. Even if you feel certain outliers are valid data, you might still…
The main purpose of statistics is to test hypotheses. For example, you can conduct an experiment and find that a certain medicine is effective in treating headaches. But if you cannot repeat that experiment, no one will take your results seriously.
A hypothesis is an educated guess about something in the world around you. It should be testable, either by experiment or observation.
Statistical hypothesis testing is a method of testing surveys and experimental results to ensure that there are meaningful results. The basic idea is to understand the possibility that the result happened by accident and test whether the…
There are plenty of types of plot now a day, sometimes is just confusing witch you should use for better performing your analysis. Depending on whether it is an actual analysis or just a data exploration, there are several graphs that can help us.
In the following image you can explore the different ways in witch we can rearrange our information for extract useful insight.
A Line plot can be defined as a graph that displays data as points or check marks above a number line, showing the frequency of each value.
A genetic algorithm is a computer program that uses natural selection to find the most promising candidates for a particular job. Genetic algorithms are procedures for optimizing problems with complex hypotheses. Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection. They simulate biological evolution through the perpetual change of the information contained in the DNA.
Algorithm phase 1: Initialization
The parameters of a predictive model is encoded within a data structure called precisely DNA or Chromosome.
Algorithm phase 2: Iteration
Iterate the crossover…
KDnuggets is a key data-mining industry news site. Hosted by respected data miner Gregory Piatetsky-Shapiro, KDnuggets provides an active stream of information about data-mining issues, events, jobs, and tools. It’s worth your while to have a peek at KDnuggets on a regular basis. Posts here keep you up to date on hot issues in data mining and related topics. And it’s a good starting place for information that may not be utterly new, but is still new to you. Links right on the home page, well-organized by subject.
Towards Data Science is a Medium blog for Data Science…
The word “DevOps” was built in 2009 by Patrick Debois, who was one of its leaders. The term ‘development’ and ‘operation’ were formed together. This provides a starting point for understanding exactly what people usually mean when they say “DevOps”. In particular, there are no DevOps processes, no skills, no standards. Many believers are calling DevOps a ‘culture’.
“DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture), and seeks to improve collaboration between operations and development teams…
Yield farming is a way to create more cryptocurrencies with your cryptocurrencies. It involves you in lending your funds to others through the magic of computer programs called smart contracts. In exchange for your service, you earn commissions in the form of cryptocurrency.
The concept of yield farming stems from a meme, but today it describes the process of making a profit through any form of interaction with DeFi protocols. Agriculture is all about receiving a native protocol token reward for lending or obtaining loans, or for providing liquidity to decentralized exchanges and voting.
Yield growers will use very complicated…
Analysis: A careful examination of the real system.
Analysis: Analysis including mathematics. (The term is very different by people, sometimes covering everything from a total of animals of simple historical data used to very complex predictive models. Always ask!)
Association rule: A tool for identifying combinations. The most common usage of the consolidation rule is market basket analysis.
Mean: All measurements that describe the middle of the distribution (more formally, “central 10 density” or “position”). In the analysis, the term “mean” refers to the mean but can indicate the median or mode.
Bayesian network: A type of neural network. Bayesian…
It all starts with a question to which we must find an answer or with a problem to be solved.
At this stage it is very important to try to fully understand the problem that is posed to us by the customer and try to help him define it better, asking all the necessary questions. In these cases (in addition to the classic indications regarding the analysis of customer needs that are explained in the following video) perhaps the most important quality is humility.
In fact, one must…
The site hosts a large collection of source code examples of various languages with free tutorials in English, editable and executable interactively via a live editor. The editor hides the header and outline elements of the code, in order to focus the user on the tested code (developer sandbox). The exercises are divided into chapters according to the development languages. In addition to the basics and some advanced technologies (such as HTML5, frameworks and libraries). There is also a YouTube channel that collects and explains some notions on web development and an internet forum.
Community of hackers obsessed with…