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Pdata Platform

Harness the Full Potential of Artificial Intelligence in Your Operations.
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Easy to Use
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High Efficiency
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Documentation and Support
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Drive with Data, Achieve Success!

Pdata.ai Platform

Pdata.ai saves developers time and effort by automating many processes such as data loading and analysis, data processing, attribute engineering, model training, model comparison and best model selection, and easy creation of APIs for model deployment. In this way, machine learning applications can be developed faster and more efficiently. Pdata Platform can be used in accordance with corporate or individual requirements.
The image shows the graph for the results of the predictive analysis

Solutions

Pdata Academy provides extensive academic support for projects like Tübitak and the European Union, with expert data science assistance. By offering code-free data analysis tools and personalized consultancy, it aids academics in making informed decisions and predicting future trends. It also fosters academic collaboration and facilitates rapid decision-making.

Loading and Analysing Data from Different Sources

It is quite easy to obtain statistical information of a data set through software that supports various file formats.

Data Processing and Attribute Engineering

In the data analysis process, the dataset is simplified by removing attributes that are all unique or of a single type.

Artificial Intelligence Model Training and Model Registration

Pdata.ai supports various training types such as regression, classification, time series and clustering.

Comparing Models and Determining the Best Model

The user is provided with details of all models created during the training process and the results obtained.

Deployment - API

The user creates an API using an appropriate deployment service to deploy their preferred model.

Auto Retrain Module

Users can set certain threshold values and automatic retraining is performed when these values are exceeded or at certain periods.
image with forecast analysis results and json, excell and csv icons

Loading and Analysing Data from Different Sources

It is quite easy to obtain statistical information of a data set through software that supports various file formats. This tool allows users to upload data in CSV, Excel, JSON and other common formats and then quickly retrieve summary statistics of the data set. These statistics include important metrics such as mean, median, standard deviation and dispersion.
The image shows an analysis with data sets

Data Processing and Attribute Engineering

In the data analysis process, the dataset is simplified by removing attributes that are all unique or of a single type. Then, the information content of the dataset is increased by creating new attributes derived from existing attributes. Finally, categorical attributes are encoded and numericised so that they can be processed by machine learning algorithms.
The image shows the training module of the pdata.

Artificial Intelligence Model Training and Model Registration

Pdata.ai supports various training types such as regression, classification, time series and clustering. This system offers two different training modes, automatic and manual. After the training is completed, it allows the user to present the results of the models in a list and it is possible to save the desired model.
The image shows a comparison of the analysis of two different models

Comparing Models and Determining the Best Model

The user is provided with details of all models created during the training process and the results obtained. The effects of the attributes used for each model are calculated and displayed in the model details. Users can make predictions by uploading external data using the models obtained as a result of training. In this way, the information obtained during the training process can be easily analysed and used.
The image shows the forecast analysis results and api sharing feature

Deployment - API

The user creates an API using an appropriate deployment service to deploy their preferred model. The user is provided with a token and a secret key to use the API. Through the deployment service's interface, the user can see the service status, the number of forecasts per week and the forecast times. This allows the user to effectively manage their model and use the API according to their requirements.
Image shows data analysis results and Spark, MongoDB, PostgreSQL logos

Auto Retrain Module

Users can set certain threshold values and automatic retraining is performed when these values are exceeded or at certain periods. For this process, external access to data sources such as Spark, MongoDB, PostgreSQL can be provided. By using software such as AirFlow or CRON, processes such as data extraction, training and sending the results to the user via e-mail are performed automatically.

Advantages

Pdata Academy provides specialized data science consulting for academic purposes, with a no-code platform for easy data processing and machine learning. Through Pdata.ai's Instant Use Form, users can input data instantly to generate accurate forecasts, facilitating swift decision-making based on trained models.

Easy to Use

Pdata.ai offers user-friendly interfaces and reduces the need to write code. In this way, it makes the machine learning model development process more accessible.
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High Efficiency

Pdata.ai automates complex processes such as model selection, hyperparameter tuning and model training, speeding up the development process and increasing efficiency.
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Scalability

Pdata.ai can handle large-scale datasets and speed up training processes using multiple processors or even distributed computing.

Delivering Diversity

Pdata.ai combines different machine learning algorithms, model types and optimisation techniques, giving users a wide range of options.

Optimisation and Tuning

Pdata.ai can help users automatically adjust hyperparameters to improve model performance or select the best model.

Ease of Update and Maintenance

Pdata.ai facilitates model updates and maintenance, thus enabling systems to be continuously optimised and updated.

Low Cost

Pdata.ai can be a cost-effective option for users, as it is available as cloud-based services or open source solutions.

Documentation and Support

Pdata.ai offers comprehensive documentation and technical support to help users solve their problems.