You will get Machine Learning Project Delivery and Performance Dashboard
Project details
I will develop a fully customized Machine Learning Project Dashboard to help you track progress, manage tasks, monitor budget, and oversee model performance metrics—all in one place. This solution is designed to keep you informed and in control of every aspect of your ML project, from data preparation and model development to deployment and evaluation.
Deliverables:
Centralized Dashboard
A custom, easy-to-navigate dashboard designed to suit your project needs, providing real-time updates on milestones, tasks, budget utilization, and model performance metrics.
Milestone and Task Tracking
Track each milestone and task with clear status indicators and a Gantt chart for timeline visualization. Stay informed on what’s done, what’s in progress, and what’s pending.
Machine Learning Performance Metrics
Get real-time tracking of ML metrics, such as accuracy, precision, recall, and F1-score, with detailed performance visualizations to monitor model progress and adjustments.
Deliverables:
Centralized Dashboard
A custom, easy-to-navigate dashboard designed to suit your project needs, providing real-time updates on milestones, tasks, budget utilization, and model performance metrics.
Milestone and Task Tracking
Track each milestone and task with clear status indicators and a Gantt chart for timeline visualization. Stay informed on what’s done, what’s in progress, and what’s pending.
Machine Learning Performance Metrics
Get real-time tracking of ML metrics, such as accuracy, precision, recall, and F1-score, with detailed performance visualizations to monitor model progress and adjustments.
Machine Learning Tools
ChatGPT, Google Sheets, Keras, Microsoft Excel, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, TensorFlow, Tesseract OCR, XGBoostWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 3 days
- Number of Revisions 2
- Number of Model Variations 4
- Number of Scenarios 2
- Number of Graphs/Charts 8
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Scenario
(+ 1 Day)
+$15Frequently asked questions
About D Sai
Data science and analytics
Kurnool, India - 10:46 am local time
• Well experienced in packages(Pandas, Numpy, Scikit-learn, TensorFlow, Keras).
• Knows machine learning algorithms (regression, classification and clustering), Deep Learning, Neural Networks.
• Data science, data visualization
Steps for completing your project
After purchasing the project, send requirements so D Sai can start the project.
Delivery time starts when D Sai receives requirements from you.
D Sai works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation and Requirement Gathering
Meet with the client to understand their objectives, key metrics, and project scope. Review any provided data sources, expected deliverables, and timelines.
Data Collection and Preprocessing
Gather, clean, and preprocess the data, handling any missing values, data inconsistencies, or formatting issues. Conduct data validation to ensure data quality and reliability for building the ML model