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Works great, nice little addition would be the ability to copy sections of already input text and drop more copies of that same text on other parts of the page. Would make what I do ALOT easier.
2015-03-30
Client asked for form to be filled out. Decided to go ahead and use your service. It is easy to navigate, gets the job done beautifully and without difficulty. You have thought of everything!
2017-04-26
my son is in the military. so I needed some information notarized. with me and him being in different locations. I was able to use the pdf filler to sign my name. then add my son to the document as a team. so he can sign the document as well. after both signatures were on the document. and notarized by PDF filler. my son was able to get the document notarized by a notary.
2023-11-14
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2023-05-19
SIMPLE AND EASY TO UNDERSTAND FOR PEOPLE WHO ARE NOT TECH SAVY
ITS GOOD BUT PRICE SHOULD BE MADE RESONABLE SO THAT MORE PEOPLE CAN AFFORD AND USE YOUR TOOLS. FOR PEOPLE IN INDIA IT IS STILL EXPENSIVE. IF YOU REDUCE YOUR PRICE, IT WILL BE AFFORDABLE TO MANY AND YOU WILL HAVE MORE CUSTOMER VOLUME IN INDIA THAN ANY OTHER COUNTRY. THIS WILL HELP YOU GENERATE MORE REVENUE.
2023-03-08
pdf filler was kinda a letdown
3/5 it was cool and yea sometimes know when to say no
I use it for specific content for signature and pdf
just didnt like the feel of the software so im moving on
2021-09-16
Excellent service. Website is easy to navigate and the forms available are excellent. In my case, even though the website is user friendly, I think a short webinar to familiarize customers would be of great benefit. I would certainly recommend PDFiler to others.
2021-02-27
I love the product just don't have the need to justify a full subscription. I enjoyed the trial period and had great Customer Service when needed. Very prompt with replies. I would recommend this product.
2020-10-02
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pdfIller can be a little confusing to use, so it isn't necessarily intuitive when I'm trying to find my docs that I created versus the filled out ones that come to me
What problems are you solving with the product? What benefits have you realized?
getting forms signed remotely!
2020-08-21
Feature Columns Log
Introducing the Feature Columns Log, your essential tool for managing and improving your data analysis process. This feature allows you to keep track of various attributes in a structured manner, making it easier to handle complex datasets.
Key Features
Organizes data into clear, manageable columns
Supports easy filtering and sorting of information
Facilitates quick data retrieval for reports
Enhances collaboration by providing a shared view of features
Integrates seamlessly with existing data systems
Potential Use Cases and Benefits
Ideal for teams working on data-driven projects
Useful for businesses needing to track multiple product features
Supports research teams in analyzing survey results
Aids marketing departments in evaluating campaign metrics
Helps developers in monitoring application performance metrics
Using the Feature Columns Log, you can overcome challenges related to data organization. By streamlining your data management, this feature enables you to make informed decisions quickly and effectively. Embrace clarity and efficiency as you transform your data processes.
For pdfFiller’s FAQs
Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
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What is a feature column?
A feature column can be a plain mapping to some input column (e.g. column_numeric() for a column of numerical data), or a transformation of other feature columns (e.g. column_crossed() to define a new column as the cross of two other feature columns). ... Represents Multi-Hot Representation of Given Categorical Column.
What is feature transformation?
Feature transformation is the name given to replacing our original features with functions of these features. ... The result of these functions is itself a random variable by definition the function of any random variable is itself a random variable.
What do you mean by feature transformation?
Feature transformation is the name given to replacing our original features with functions of these features. ... The result of these functions is itself a random variable by definition the function of any random variable is itself a random variable.
What is the transformation?
A transformation is the large category of things that can be done to points on the coordinate plane. ... One of the rigid transformations is a translation. So a translation is a type of transformation. All translations are transformations. However, there are many transformations that are not translations.
Why do you transform data?
Transforms are usually applied so that the data appear to more closely meet the assumptions of a statistical inference procedure that is to be applied, or to improve the interpretability or appearance of graphs. Nearly always, the function that is used to transform the data is invertible, and generally is continuous.
What is continuous variable in machine learning?
A continuous variable can take any values. Think of it like this: If that number in the variable can keep counting, then it's a continuous variable. ... When I say counting, I'm referring to those counts after the decimal. That is an example for continuous variable.
What is feature transformation in machine learning?
Feature transformation (FT) refers to family of algorithms that create new features using the existing features. These new features may not have the same interpretation as the original features, but they may have more discriminatory power in a different space than the original space.
What are transformations in statistics?
In data analysis transformation is the replacement of a variable by a function of that variable: for example, replacing a variable x by the square root of x or the logarithm of x. In a stronger sense, a transformation is a replacement that changes the shape of a distribution or relationship.
What is feature selection in machine learning?
Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.
What is automated feature engineering?
Automated Feature Engineering. ... Feature engineering is the process of preparing a dataset for machine learning by changing features or deriving new features to improve machine learning model performance.
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