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Data Scientist

AutoML, explainability, and interactive analysis without infrastructure overhead

Focus on data science — not infrastructure. AutoML handles algorithm selection and hyperparameter tuning while ML Studio provides SHAP values, partial dependence plots, and What-If scenarios.

The Challenges

Algorithm Selection Fatigue

Manually testing dozens of algorithms and hyperparameter combinations is time-consuming and error-prone.

Explainability Gap

Stakeholders demand interpretable models, but generating SHAP values and feature importance reports requires custom code.

Data Preparation Bottleneck

80% of time is spent cleaning, transforming, and feature engineering rather than actual modeling and analysis.

How CorePlexML Helps

AutoML

50+ Algorithm AutoML

Automated training across XGBoost, GBM, Deep Learning, GLM, and stacked ensembles with Bayesian hyperparameter optimization.

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ML Studio

Built-In Explainability

ML Studio provides SHAP contributions, partial dependence plots, variable importance, and interactive What-If analysis.

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Dataset Builder

AI-Guided Data Prep

Dataset Builder handles cleaning, encoding, scaling, and feature engineering through a conversational AI interface.

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SDK Example

example.py
from coreplexml import CorePlexMLClient

client = CorePlexMLClient(
    base_url="https://api.coreplexml.io",
    api_key="sk_your_api_key"
)

# Auto-clean data with Dataset Builder
session = client.builder.create_session(
    project_id="proj_analysis",
    file_path="raw_survey_data.csv"
)

# Train with full AutoML
experiment = client.experiments.create(
    project_id="proj_analysis",
    dataset_version_id=session["output_version_id"],
    target_column="satisfaction_score",
    max_models=50
)

# Explore results in ML Studio
studio = client.studio.create_session(
    project_id="proj_analysis",
    deployment_id="dep_satisfaction_v1"
)

Expected Impact

50+
Algorithms Tested
4 types
Explainability Methods
80%
Data Prep Time Saved
10 min
Experiment Turnaround

Ready to get started?

Try CorePlexML free — no credit card required. Train your first model in under 10 minutes.

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