You will get smarter decisions and better outcomes with our AI/ML toolkit.
Project details
Customized AI Solutions: We specialize in creating tailored AI/ML solutions that precisely fit your unique business needs, setting us apart with personalized strategies that drive real results.
Agile Methodology: We employ a flexible, agile approach to project development, enabling us to adapt quickly to changes and efficiently iterate on solutions, ensuring timely delivery and optimal outcomes.
Comprehensive Support: From initial consultation through to post-deployment, we provide end-to-end support, ensuring not just a seamless implementation but also robust maintenance and continuous improvement of your AI/ML solutions.
Ethical and Transparent Practices: Integrity is at the core of what we do. We commit to ethical AI use, data privacy, and transparency in our methodologies, building trust and ensuring that your project not only succeeds but also responsibly aligns with your values.
Agile Methodology: We employ a flexible, agile approach to project development, enabling us to adapt quickly to changes and efficiently iterate on solutions, ensuring timely delivery and optimal outcomes.
Comprehensive Support: From initial consultation through to post-deployment, we provide end-to-end support, ensuring not just a seamless implementation but also robust maintenance and continuous improvement of your AI/ML solutions.
Ethical and Transparent Practices: Integrity is at the core of what we do. We commit to ethical AI use, data privacy, and transparency in our methodologies, building trust and ensuring that your project not only succeeds but also responsibly aligns with your values.
Machine Learning Tools
Keras, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$2,200
|
Standard
$7,500
|
Advanced
$18,500
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 45 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$950 - $4,200
Additional Revision
+$120
Additional Model Variation
(+ 2 Days)
+$230
Additional Scenario
(+ 2 Days)
+$185
Additional Graph/Chart
(+ 2 Days)
+$85
Model Documentation
(+ 3 Days)
+$420
Data Source Connectivity
(+ 2 Days)
+$450
Source Code
(+ 1 Day)
+$550
API Endpoints
+$550
Web Interface
+$650About David
Full Stack Developer
Nairobi, Kenya - 5:05 am local time
My knack for problem-solving is honed through a disciplined eye for detail, all geared towards crafting clean, scalable, and reliable code. The collaborative ethos of my work style, coupled with a continual zest for learning new technologies, empowers me to adapt swiftly to evolving project exigencies, ensuring the delivery of high-quality software solutions.
Whether it's a quick troubleshooting task, a long-term project, or a collaborative partnership, I bring to the table a blend of technical adeptness, proactive engagement, and a proven track record of delivering robust software solutions. I eagerly look forward to contributing to your projects and engaging in fruitful collaborations.
Thank you for considering my profile!
Steps for completing your project
After purchasing the project, send requirements so David can start the project.
Delivery time starts when David receives requirements from you.
David works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff and Requirements Gathering
Initial Consultation: Discuss the project scope, objectives, and requirements with the client. Requirements Documentation: Formalize the goals, data availability, technical requirements, and any constraints into a project brief.
Data Collection and Preparation
Data Collection: Assist in gathering the necessary data, if not already available. Data Cleaning and Preprocessing: Clean, preprocess, and structure the data to make it suitable for modeling