Build & Deploy Machine Learning Models for Data-Driven SolutionsSneha Das Karmakar
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
Sneha's other services
Starting at$20
Duration4 weeks
Tags
Jupyter
Python
Visual Studio Code
AI Developer
AI Model Developer
ML Engineer
Service provided by
Sneha Das Karmakar Kolkata, India
Build & Deploy Machine Learning Models for Data-Driven SolutionsSneha Das Karmakar
Starting at$20
Duration4 weeks
Tags
Jupyter
Python
Visual Studio Code
AI Developer
AI Model Developer
ML Engineer
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
Sneha's other services
$20