You will get a trained machine learning model (regression/classification/clustering)
Project details
Are you ready to transform your data into actionable insights? With a custom-trained machine learning model, you'll get a solution tailored to your needs, delivering unparalleled accuracy and reliability.
What You Will Get:
Comprehensive Data Analysis:
• Clean, well-preprocessed data with detailed insights into patterns and trends.
Custom Model Development:
• A model designed for your requirements, utilizing the best algorithms, optimized for maximum performance.
Model Training and Validation:
A robust, validated model using cross-validation techniques and relevant performance metrics.
Deployment and Integration:
• Comprehensive documentation and support for easy maintenance.
• Training and support for your team to effectively utilize the model.
• Optional FastAPI + Docker app integration.
What You Will Get:
Comprehensive Data Analysis:
• Clean, well-preprocessed data with detailed insights into patterns and trends.
Custom Model Development:
• A model designed for your requirements, utilizing the best algorithms, optimized for maximum performance.
Model Training and Validation:
A robust, validated model using cross-validation techniques and relevant performance metrics.
Deployment and Integration:
• Comprehensive documentation and support for easy maintenance.
• Training and support for your team to effectively utilize the model.
• Optional FastAPI + Docker app integration.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, Azure Machine Learning, Databricks MLflow, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 14 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 3 | 5 | 5 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 5 | 10 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Custom metric/business outcome
(+ 5 Days)
+$250
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YI
Yury I.
Jul 21, 2024
Causal modelling with Python
Andrew provided well-commented Python solution with incremental delivery via github. Also, I'd emphasize valuable contribution from Andrew's domain experience perspective to the project given quite a challenging task.
About Andrew
AI Developer | Automation expert | Data Scientist
London, United Kingdom - 12:24 pm local time
I'm experienced in designing and building solutions for large corporate and public sector organisations.
I really enjoy helping clients make their existing software work for them, without a huge IT project spend, and software-constrained processes.
Steps for completing your project
After purchasing the project, send requirements so Andrew can start the project.
Delivery time starts when Andrew receives requirements from you.
Andrew works on your project following the steps below.
Revisions may occur after the delivery date.
Define the Problem and Objectives
Identify the Problem: Clearly articulate the problem you're solving (classification, regression, etc.). Set Objectives: Define goals and success metrics. Outline performance metrics for model evaluation.
Collect and Prepare Data
Data Collection: Gather relevant data from multiple sources. Data Cleaning: Correct inaccuracies and handle missing values. Data Transformation: Normalize values, encode categories, and create new features if needed.