Pyceptron

Name: Pyceptron
Address: House no 20, East Rampura, Dhaka, 1219, BD
Telephone: +8801521572292

Home
Bangladesh
Dhaka
Pyceptron

Pyceptron is a data-driven intelligence team, focuses on business growth, analyzing and intelligence.

Data Analyzing, Customer Funneling, Dashboarding, Predictive Models, Warehousing and also Business Solutions to make business decisions.

11/09/2021

A robust foundation for training and testing a model requires splitting data. For example, new data points that do not show random effects may be predicted quite accurately if we had a fully "genuine" dataset and the model was fitted adequately. Therefore, to determine how effectively the taught model will generalize to new data, the dataset is separated into training and test sets.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/
linkedin : https://www.linkedin.com/company/pyceptron

01/09/2021

What exactly is a feature, and why do we require its engineering?
In order to generate outputs, all machine learning algorithms require some form of input data. Features, which are normally in the form of organized columns, are included in this input data. To function successfully, algorithms necessitate features having a specified attribute. Feature engineering becomes necessary at this point. Feature engineering efforts are primarily focused on two objectives: Creating a suitable input dataset that satisfies the requirements of the machine learning algorithm and most importantly, Machine learning models' performance can be improved.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

05/08/2021

Machine Learning is a data-driven AI, hence If the data are irrelevant or error-prone, then it leads to incorrect model construction. For analytics and machine learning, data is the most valuable thing. Data are needed everywhere in computing or business. It is not unlikely that data will contain incomplete, incompatible or missing value when it comes to real-world data. It may hinder the process or produce inaccurate results if the data are corrupted. In this regard, data cleansing is important.
Data Cleansing means the process of recognizing and changing, replacing or deleting the incorrect, incomplete, inaccurate, irrelevant or missing part of the data. Cleaning data is considered a key element of the fundamental science of data.
Let's look at an example, assume that you're a company's general manager. Your company collects information from various customers who purchase your company products. Now you want to know what products are most interested in people and to increase their production. But if the data are corrupted or missing values, then you are wrong and will have trouble making the right decision.
There can be a lot of problems with a small error in the dataset as well as it will waste all your effort. It’s a must followed step to clean your data every time.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

29/07/2021

Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions.

EDA is primarily used to see what data can reveal beyond the formal modelling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Originally developed by American mathematician John Tukey in the 1970s, EDA techniques continue to be a widely used method in the data discovery process today.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

21/07/2021

Let us learn the basic essence of sacrifice and let’s celebrate this Festive Eid by sacrificing our egos.
May the joy of Eid surround you and your family.
Team Pyceptron wishes everyone Eid ul Adha Mubarak!

19/07/2021

When data is unstructured, it is difficult to work with it or to extract meaning from provided data, or data preparation for further processing as the model should be training without biases. The data analysis section is useful here, as it helps you understand and deal more effectively with the dataset. You need to explore the data, understand the meaning in a more descriptive way to find the insight, and that is the most important for research purposes in any field. Before performing all the necessary exploration, visualizations, or calculations, firstly we should focus on understanding data. Once data is understandable, such as in which category the data falls, further exploration gets easier.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

16/07/2021

The computer's automated, improved learning system can be explained as a machine learning process (ML) without being programmed, i.e. without human aid. In Machine Learning (ML), the computer system uses data analysis algorithms to help predict outcomes without explicit programming. Machine learning algorithms depend on historical data to provide input for future forecasts. Examples of machine learning are diagnosis, processing, prediction, classification, an association of learning, regression etc.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

11/07/2021

Implementing a successful inventory optimization program involves several phases, none of which can be completed effectively without first having quality data. The following cost-savings progression model illustrates the critical tasks necessary to achieve maximum success.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

08/07/2021

Is AI chatbot really a thing?

The more we advance in Internet technology, the more capable marketers can personalize the customer experience. Simple tactics, like including the name of a prospect or a "recommended" content e-mail based on shopping, once included, but it is no longer. It is not possible.

With the growth of data, maturation of marketing automation, and the development of artificial intelligence, personalization has risen to the 1 to 1 level - one company for one consumer.
Chatbots are at the crossroads of all three. Nowadays these bots can do quite amazing things, from being individual designers to booking excursions as a virtual tour operating agency.

As hyper-personalized messages progress, the line between bot and human is blurred, which enables customers to achieve almost everything they would otherwise want to browse a website or an app for. If you get the personalization of chatbot right, your customers can get what they want and get it faster.

Chatbots have a strong potential to bridge the personalization gaps in online channels such as websites and email that apply personalization to a broad size: email lists are divided into groups, websites can serve a gender-related version of a user-related site - but not a one-to-one personalization of the website.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

03/07/2021

Workforce Analytics makes use of software to apply statistical models to employee-related data to optimize human resource management (HRM). It can assist organizations in developing recruiting methods, making general and specific hiring decisions, and retaining the best talent.

Contact Us: [email protected]
Visit Us at : https://pyceptron.business.site/

Address

House No 20, East Rampura
Dhaka
1219

Telephone

+8801521572292

Website

https://pyceptron.business.site/

Alerts

Be the first to know and let us send you an email when Pyceptron posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Pyceptron: