Wiki: datrics.ai platform

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How to use datrics.ai

🚗Getting Started ⏳Features planned and in progress

Bricks

Data Processing

Add New Column [Deprecated]Aggregate Data Apply Function Binning Bivariate Correlation Compare Data Create a New Column Data Aggregate [Deprecated]Date Range Duplicates Treatment Encoding Feature Selection Filter Columns Filter Rows Information Value Join Data Missing Values Treatment Normalize Columns Parse Datetime Pivot Spreadsheet Rename Columns Rolling Function Shift Data Split Data Transpose Typization Union Data Variable Selection Flatten JSON Dimensionality Reduction Balanced Sampling

Machine Learning

Forecasting Timeline Isolation Forest Model K-Means Clustering LGBM Binary LGBM Multiclass Linear Regression Model Predict Predictive Model Prophet Random Forest Binary Random Forest Multiclass Random Forest Regressor Scorecard Time Series Forecasting Train Model Deprecated LGBM Regressor

Dashboards

Predictive dashboard Forecasting Dashboard Pivot Table

Containers

For loop Pipeline

Export

Export CSV Deprecated Export to DB

Custom code

Custom Code

Demand forecasting 💻AutoModel APIs API Keys Usage

API

Pipeline API Usage API Input API Output

Datasets

🛳️Titanic 🛒Rossmann Store Sales 🏡House Prices 💻Online Retail

🗃️Clustering Benchmark Datasets 🌐Country Development Data 🚁Turbines

Use cases and templates

🛥️Binary classification: Titanic 💳Credit Scoring 🛍️Inventory Management

🏪Store Sales Prediction 💵Excel Store Sales Data

Use cases and templates - depricated

🏘️Generic regression - House Price Prediction 💵Excel Store Sales Data 💳Credit Scoring 🛥️Binary classification : Titanic 📖Custom Code Usage - Text Classification 🛍️Inventory Management 📈Credit-Risk Corezoid Integration

Pipeline

👉🏼Data import and connectors 👈🏼Data export and connectors 🥒Models Save/Download 👇🏼Preview and download data

📄Template data samples 🏃🏼Pipeline run and partial run

Datrics Model Deserialization from JSON