Model your AI problem with best in class AutoML tool.

Transpose & clean datasets

Convert datasets into the required format and clean up unwanted characters and records from the dataset.

---

Merging datasets

Combine different datasets into a single dataset to enable meaningful and high-value features ready for machine learning.

---

Missing value imputation

Replace missing values in the data sets by using different statistical techniques around the feature or appropriate imputation.

---

Replace outlier values

Find the outlier values in a specified feature and to replace it with quantile or appropriate values.

---

Feature extraction

Support you to extract features in a format supported by advanced machine learning algorithms from the datasets.

---

Feature encoding

Encode different categorical values to numerical values for better machine learning processing.

---

Deep feature synthesis

Helps you to do automated feature generation by transforming transactional and relational datasets to optimize the feature values using standard and custom primitives.

---

Label creation

Allow you to create labels based on multiple column conditions, bulk label upload, and manual label creation for each record.

---

Data filtering

Identify and filter irrelevant data and records. Also, help you to remove features based on the lower correlation with labels.

---

Download feature engineered data & code

With a single click, you can download the source code for feature engineering and the feature engineered dataset. The source code is available as Algomox ML/DL pipeline task, standalone microservice, and in dockerized form.

State of the art machine learning model building

Build multiple models in a few clicks, with the best hyperparameter from thousands of parameters in the parameter space.

---

Different modes of model building and tuning

Allow you to build models in fully auto mode, semi-auto mode, and completely manual mode with the highest flexibility.

---

Feature selection, dimensionality reduction, and scaling

Enables the machine learning algorithms to train faster and reduces the complexity of the model using best in class algorithms.

---

Solve your classification problem very quickly

Address your classification problems with the best algorithm fit for the dataset provided with best hyperparameters from the parameter space.

---

Get the best prediction model for your regression problem

Address your regression problems with the best algorithm fit for the dataset provided with best hyperparameters from the parameter space to get the accurate prediction.

---

Model your clustering problem with few clicks

Evaluate your clustering problems with many standard algorithms and provide you a model with the best algorithm and parameters.

---

Anomaly detection made easy

With a few clicks, you can address the anomaly detection problems with the best model and the best algorithm fit for the dataset provided with best hyperparameters from the parameter space.

---

Download machine learning model & code

With a single click, you can download the source code for machine learning and the fine-tuned model. The source code is available as Algomox ML/DL pipeline task, standalone microservice, and in dockerized form.

State of the art deep learning model building

Build multiple models in just a few clicks, with the best architecture, and best hyperparameters from a parameter space.

---

Different modes of model building and hyperparameter tuning

Build models in fully auto mode, and completely manual mode with the highest flexibility.

---

Feature selection, dimensionality reduction, and scaling

Enables the machine learning algorithms to train faster and reduces the complexity of the model using best in class algorithms.

---

Support for classification, regression and time series forecasting.

Address your classification, regression and time series problems with the best deep learning model fit for the dataset provided with best neural network architecture hyperparameters.

---

Support multiple neural network architectural search and hyperparameter tuning

Allow to you automatically build models with different architectures including MLP, and LSTM, to develop models of classification, regression, anomaly detection, and time series analysis.

---

Download deep learning model & code

Download the best in class model and automated deep learning code for different run-time deployment models. The available export options include Algomox platform mode, stand-alone micro-service mode, and dockerized micro-service mode.