You will get Python Developer with AI / Machine Learning Experience
Top Rated
You will get Python Developer with AI / Machine Learning Experience
Top Rated
Project details
Preprocessed and Cleaned Training Data
The raw data collected for the project will be preprocessed and cleaned to remove any inconsistencies, errors, or irrelevant information. This ensures that the data is suitable for training the machine learning models.
Trained Machine Learning Models
Using various machine learning techniques such as random forests, gradient boosting, neural networks, etc., models will be trained on the prepared data. These models are tailored to perform well on the specific task defined by the project.
Model Performance Evaluation
The performance of the trained models will be evaluated using metrics such as accuracy, F1 score, precision, recall, etc. This assessment helps in determining how well the models generalize to unseen data.
Optimized ML
Efforts will be made to optimize the models for both performance and efficiency. This could involve tuning hyperparameters, reducing overfitting, or improving computational efficiency.
Deployed ML
Finally, the optimized and tested machine learning model will be deployed and integrated into the client's platform or application. This ensures that the model is ready to be used in a real-world setting.
The raw data collected for the project will be preprocessed and cleaned to remove any inconsistencies, errors, or irrelevant information. This ensures that the data is suitable for training the machine learning models.
Trained Machine Learning Models
Using various machine learning techniques such as random forests, gradient boosting, neural networks, etc., models will be trained on the prepared data. These models are tailored to perform well on the specific task defined by the project.
Model Performance Evaluation
The performance of the trained models will be evaluated using metrics such as accuracy, F1 score, precision, recall, etc. This assessment helps in determining how well the models generalize to unseen data.
Optimized ML
Efforts will be made to optimize the models for both performance and efficiency. This could involve tuning hyperparameters, reducing overfitting, or improving computational efficiency.
Deployed ML
Finally, the optimized and tested machine learning model will be deployed and integrated into the client's platform or application. This ensures that the model is ready to be used in a real-world setting.
Machine Learning Tools
Azure Machine Learning, ChatGPT, deeplearn.js, GitHub Copilot, Google AutoML, Google Sheets, GPT-3, Keras, Microsoft Excel, Microsoft Power BI, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Tesseract OCR, Theano, Vertex AIWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,500
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Additional Model Variation
(+ 2 Days)
+$200
Additional Scenario
(+ 2 Days)
+$200
Additional Graph/Chart
(+ 2 Days)
+$100
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About Luis Daniel
Azure | Python | React | Powershell | Automation Expert - 12 Yrs XP
100%
Job Success
Cainta, Philippines - 5:52 pm local time
✅ Azure Expert
✅ Office365
✅ Microsoft Power Apps
✅ Microsoft Power Automate
✅ Mobile-App Development
✅ Desktop-App Development
✅ Web-App Development
✅ Front-End Development
✅ Back-End Development
✅ Full-Stack Development
✅ Software Development
✅ Embedded Development
✅ Artificial Intelligence / Machine Learning
✅ Automation Solutions
✅ Arduino & Raspberry Pi
✅ Firebase / Appwrite / Supabase
✅ Linux / MacOS
𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
⭐ Top Rated Plus +
⭐ Saved Cost & Generated More Revenues for Customers
⭐ Deliverd Projects Successfully
⭐ Helped Over 100+ Customers
⭐ Led a Team of Software/Network Engineers
⭐ Worked on Large Contracts
⭐ Python for Back-End Development Certified @ Upwork
⭐ Automated Deployment Processes
⭐ Created Innovative Solutions
⭐ Built and Supported MVPs
⭐ Contributed to Open-Source Projects
⭐ Developed a Best Project using Raspberry Pi and Python
⭐ Developed a Runner-Up Project using Arduino and Python
⭐ Instructor for Raspberry Pi, Python, SQL, and Web Development Workshops
⭐ Recognized for Excellent Work at CYCU, Taiwan
⭐ Experienced Developer since 14 Years Old
𝗪𝗵𝗮𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝗳𝗼𝗿 𝗰𝗹𝗶𝗲𝗻𝘁𝘀?
I help businesses streamline operations, automate workflows, and build custom software solutions to improve efficiency and drive growth.
𝗪𝗵𝗼 𝗶𝘀 𝘆𝗼𝘂𝗿 𝗶𝗱𝗲𝗮𝗹 𝗰𝗹𝗶𝗲𝗻𝘁?
Businesses and entrepreneurs looking to develop innovative software, automate processes, or integrate AI and cloud solutions.
𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝗮 𝗰𝗹𝗶𝗲𝗻𝘁 𝗰𝗵𝗼𝗼𝘀𝗲 𝘆𝗼𝘂 𝗼𝘃𝗲𝗿 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿?
With 12 years of experience, I deliver high-quality, scalable solutions tailored to each client’s needs on time and beyond expectations.
𝗪𝗵𝗮𝘁 𝗶𝘀 𝘆𝗼𝘂𝗿 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝘁𝘆 𝗼𝗿 𝗻𝗶𝗰𝗵𝗲?
I specialize in business automation, cloud solutions (Azure), AI/ML, and embedded systems like Raspberry Pi and Arduino.
𝗪𝗵𝘆 𝗱𝗼 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗮𝗰𝗸 𝘁𝗼 𝘆𝗼𝘂?
I build long-term solutions that grow with their business. Clients trust me for my expertise, strategic thinking, and reliable execution.
𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝗴𝗿𝗲𝗮𝘁𝗲𝘀𝘁 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀?
Problem-solving, adaptability, and delivering efficient, cost-effective solutions that make a real impact.
𝗪𝗵𝗮𝘁 𝗽𝗼𝘀𝗶𝘁𝗶𝘃𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗵𝗮𝘃𝗲 𝘆𝗼𝘂 𝗿𝗲𝗰𝗲𝗶𝘃𝗲𝗱 𝗳𝗿𝗼𝗺 𝗰𝗹𝗶𝗲𝗻𝘁𝘀?
Clients appreciate my proactive communication, attention to detail, and ability to exceed expectations in quality and deadlines.
Steps for completing your project
After purchasing the project, send requirements so Luis Daniel can start the project.
Delivery time starts when Luis Daniel receives requirements from you.
Luis Daniel works on your project following the steps below.
Revisions may occur after the delivery date.
Receive proposal from client
Develop AI/ML model with client