Welcome to the company ! we have many years of professional experience !

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+86-19103857207

Henan Yeesain Health Technology Co., Ltd. is a professional manufacturer and excels in producing disposable hygiene products. It owns many brands such as “Deyo” “Yeesain”. Based on the long-term understanding of marketing requirements, we also sell on JD.com, Tmall, Taobao, PDD, Amazon, etc. 2018 Sales Amount of baby Wipes was 8.5 Million dollars on Alibaba Taobao platform, Sales Amount of Underpad 5.4 Million dollars. Total annual sales of more than 40 million dollars. we have 5 advanced hygiene care series production lines and a production capacity of more than 4 million pieces per day. It mainly produces baby care products, medical underpads series, an incontinence pad, maternity series. The company strictly implements the international quality standards, has obtained ISO9001 & CE certificates.

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How many months can size 1 diapers last for your baby

July 2020 – Linear Diapers

1 post published by Shawn Jung during July 2020. I had a chance to read the incredible book, ‘Bayesian Statistics The Fun Way,’ during the Corona lockdown.I was amazed by the process of calculating the posterior probability based on the prior and newly acquired information and repeating this process by putting the posterior as the prior input of the next step.

Common Statistical Models used in Predictive Analytics

Common Statistical Models used in ,Predictive Analytics,. Sangeeta Aug 18, 2015 No Comments. Updated – 26th of June 2019. In a previous blog, we covered the ,use, of predictive modelling techniques to predict future outcomes. In this post we cover some of the common Statistical models in ,Predictive Analytics,.

DIY Diaper Sprayer | Diaper sprayer Diy diapers Diy baby ...

Jan 10, 2015 - 20200808 Majority of the storage options that are available in Australia are provided with needed facilities to make sure the users are well equipped to handle their stored items.

INTRODUCTION TO Machine Learning

Use Bayes, rule to calculate the probability of the classes ... Calculate support for {soy milk,,diapers,} Calculate confidence for {,diapers,->wine} Find all the set of items with support greater than 0.5 How to do that? An example

A Bayes Wizard for Predicting Startup Success - Canadian ...

17/4/2013, · The ,Bayes, Wizard allows you to specify as many tests and hypothesis as you want. It is up to you to come up with the hypothesis you want to examine and the number and kind of tests you want to ,use,. You should look for empirical information about the covariation between your tests and outcomes so that you can compute the required likelihood terms.

Greenplum MADlib Extension for Analytics | Pivotal ...

Based on the data, beer and ,diapers, are often purchased together. To increase sales, you might consider placing beer and ,diapers, closer together on the shelves. Naive ,Bayes, Classification. Naive ... Naive ,Bayes, Example 1 - Simple All-numeric Attributes. In the first example, ...

Assign. 7 - Data Mining

Y = ,Diapers, {Milk} → {,Diapers,} Support = 3/5 = 60% ,Confidence, = 3/4 = 0.75% Such rules are not subjectively interesting due to any household that has children would ,use, milk and ,diapers,. (b) A rule that has reasonably high support but low ,confidence,. X = Milk Y = Cola {Milk} → {Cola} Support = 2/5 = 40% ,Confidence, = 2/4 = 50%

Stats: Conditional Probability

Bayes,' Theorem. However, just for the sake of argument, let's say that you want to know what ,Bayes,' formula is. Let's ,use, the same example, but shorten each event to its one letter initial, ie: A, B, C, and D instead of Aberations, Brochmailians, Chompieliens, and Defective. P(D|B) is not a ,Bayes, problem. This is given in the problem.

Stats: Conditional Probability

Bayes,' Theorem. However, just for the sake of argument, let's say that you want to know what ,Bayes,' formula is. Let's ,use, the same example, but shorten each event to its one letter initial, ie: A, B, C, and D instead of Aberations, Brochmailians, Chompieliens, and Defective. P(D|B) is not a ,Bayes, problem. This is given in the problem.

Data Mining

Other names for this algorithm: simple ,Bayes,, independence ,Bayes,, idiot ,Bayes, (!). For each training feature set, probabilities are assigned for each possible outcome (class). Given a new feature, the algorithm outputs a classification corresponding to the max of the most probable value of each class (which the algorithm calculates, ,using, the 'maximum a posteriori', or 'MAP' decision rule).

July 2020 – Linear Diapers

1 post published by Shawn Jung during July 2020. I had a chance to read the incredible book, ‘Bayesian Statistics The Fun Way,’ during the Corona lockdown.I was amazed by the process of calculating the posterior probability based on the prior and newly acquired information and repeating this process by putting the posterior as the prior input of the next step.

INTRODUCTION TO Machine Learning

Use Bayes, rule to calculate the probability of the classes ... Calculate support for {soy milk,,diapers,} Calculate confidence for {,diapers,->wine} Find all the set of items with support greater than 0.5 How to do that? An example

Machine Learning Algorithms Fundamentals - The Quick Overview

The key idea is to ,use, a text classification model ,using, Naïve ,Bayes, by learning from the samples of normal email and spam. The term that is usually used to signify various classification machine learning algorithms that are based on ,Bayes,’ theorem is ,Bayes, classification.

DIY Diaper Sprayer | Diaper sprayer Diy diapers Diy baby ...

Jan 10, 2015 - 20200808 Majority of the storage options that are available in Australia are provided with needed facilities to make sure the users are well equipped to handle their stored items.

Data Mining

Other names for this algorithm: simple ,Bayes,, independence ,Bayes,, idiot ,Bayes, (!). For each training feature set, probabilities are assigned for each possible outcome (class). Given a new feature, the algorithm outputs a classification corresponding to the max of the most probable value of each class (which the algorithm calculates, ,using, the 'maximum a posteriori', or 'MAP' decision rule).

Assign. 7 - Data Mining

Y = ,Diapers, {Milk} → {,Diapers,} Support = 3/5 = 60% ,Confidence, = 3/4 = 0.75% Such rules are not subjectively interesting due to any household that has children would ,use, milk and ,diapers,. (b) A rule that has reasonably high support but low ,confidence,. X = Milk Y = Cola {Milk} → {Cola} Support = 2/5 = 40% ,Confidence, = 2/4 = 50%

Product Association Recommenders - Non-Personalized and ...

We can compute it ,using Bayes,' Law as the probability that B occurs given A times the probability of A to begin with and divide by the overall probability of B. That inspiration can get us into a direction were we look a bit more at how much more likely some product Y is to be purchased than it was before X was purchased as the triggering event.

Carley Bayes (rowanwade14) on Pinterest

See what Carley ,Bayes, (rowanwade14) has discovered on Pinterest, the world's biggest collection of ideas.

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+86-19103857207

Company address

Jinxiu Business Building, 16th floor, Songshan South Road, Erqi District, Zhengzhou, Henan, China

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