Build & Deploy Machine Learning Models for Data-Driven Solutions

Sneha Das Karmakar

Starting at

$

20

About this service

Summary

I offer end-to-end machine learning solutions, from understanding business problems and data preprocessing to developing optimized models and deploying them to Azure. What sets me apart is my comprehensive approach, providing well-documented code in VS Code Jupyter Notebooks, and delivering a seamless integration of machine learning models that align with client requirements for real-time applications and easy access through GitHub

What's included

  • Business Understanding, Data Collection, Preprocessing, and Model Development

    Understand the business problem, collect raw data, preprocess it (handling missing values, outliers, scaling), and develop a suitable machine learning model. The model will undergo hyperparameter tuning for optimization, followed by comprehensive evaluation to ensure accuracy and reliability. Format: Python scripts, VS Code, Jupyter Notebook (.ipynb), model files (.pkl)

  • Code Delivery on GitHub

    Deliver all project code on GitHub, including well-documented scripts and notebooks, enabling the client to access, modify, and manage the code efficiently. Format: GitHub repository link, including code in VS Code

  • Azure Deployment Based on Client Requirements

    Deploy the trained machine learning model to Azure, ensuring it aligns with the client’s infrastructure and operational requirements for real-time or batch predictions. Format: Azure deployment setup

Duration

4 weeks

Skills and tools

ML Engineer

AI Model Developer

AI Developer

Jupyter

Jupyter

Python

Python

Visual Studio Code

Visual Studio Code

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