Home of AutoViz, AutoViML and featurewiz

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@AutoViML

Automated Machine Learning: Build Variant Interpretable Machine Learning models. Project Created by Ram Seshadri.

AutoViz. Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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Auto_TS. Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

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featurewiz. Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

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Auto_ViML. Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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pandas_dq. Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.

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deep_autoviml. Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

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lazytransform. Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.

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featurewiz_polars. New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.

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AutoViML.

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Leakage_Free_OpenFE. Leakage Free OpenFE: automated feature generation with expert-level performance without the data leakage from the original version

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job_search_agent. Uses Adzuna and Gemini to search Jobs from multiple locations and multiple roles using your resume.

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GenAI_Projects. GenAI Projects based on working with Gemini and Open Source models and tools. Created by Ram Seshadri

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generative-ai. Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

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