You will get A Streamlit Web App Dashboard | Data Visualization
Project details
This project offers a visually appealing and user-friendly dashboard, tailored to the unique needs of data-driven organizations. With interactive features such as dropdowns, sliders, and buttons, users can engage with the data in a more dynamic and immersive way.
The dashboard design incorporates branding guidelines and color schemes, ensuring a consistent and professional look and feel. What sets this project apart is the combination of machine learning models and data science techniques, allowing for advanced data analysis and predictive insights. By integrating machine learning algorithms, users can uncover hidden patterns, make predictions, and optimize business processes.
In summary, this Streamlit machine learning data science dashboard project offers a powerful and engaging solution for data analysis, visualization, and predictive modeling, setting it apart from traditional data science tools and approaches.
The dashboard design incorporates branding guidelines and color schemes, ensuring a consistent and professional look and feel. What sets this project apart is the combination of machine learning models and data science techniques, allowing for advanced data analysis and predictive insights. By integrating machine learning algorithms, users can uncover hidden patterns, make predictions, and optimize business processes.
In summary, this Streamlit machine learning data science dashboard project offers a powerful and engaging solution for data analysis, visualization, and predictive modeling, setting it apart from traditional data science tools and approaches.
Programming Languages
HTML & CSS, PythonCoding Expertise
DesignWhat's included
| Service Tiers |
Starter
$50
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
Number of Pages | 1 | 3 | 6 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$5
Additional Page
(+ 1 Day)
+$12About Mohsen
Machine Learning | Computer Vision | Large Language Models
Verona, Italy - 3:23 pm local time
My expertise lies in:
- Crafting and implementing advanced machine learning models
- Developing deep learning solutions
- Conducting thorough data analysis
- Working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
- Implementing anomaly detection algorithms
- Utilizing YOLO models for object detection
Key Skills and Technologies:
Machine Learning & AI:
🧠 Scikit-Learn, 🔥 PyTorch, 🤖 TensorFlow, 💡 Keras, 🖥️ OpenCV, 🔍 YOLO
Large Language Models & NLP:
🤖 LLMs, 📚 RAG (Retrieval-Augmented Generation), 🗨️ Prompt Engineering, 🗣️ Natural Language Processing
Data Manipulation and Visualization:
🐼 Pandas, 🔢 NumPy, 📊 Matplotlib, 🚀 Plotly, 🎨 Seaborn
Programming Languages:
🐍 Python, ⚙️ C, 🗃️ C++, ©️ C#
Machine Learning Techniques:
📚 Supervised Learning, 🧰 Feature Extraction, 🖼️ Image Processing, 🔄 Unsupervised Learning, 🌐 Deep Learning, 📊 PCA, 🔍 Anomaly Detection
Data Visualization & Deployment:
📊 Streamlit
With my diverse skill set and ongoing education in cutting-edge technologies, I am well-equipped to tackle complex machine learning, AI, and NLP challenges, delivering innovative solutions tailored to your specific needs.
Steps for completing your project
After purchasing the project, send requirements so Mohsen can start the project.
Delivery time starts when Mohsen receives requirements from you.
Mohsen works on your project following the steps below.
Revisions may occur after the delivery date.
Project Initiation and Development
Review and acknowledge the receipt of project requirements. Prepare data, develop and integrate machine learning models, design and develop the dashboard.
Client Review and Collaboration
Share the initial version of the dashboard with the client for review and feedback. Make necessary revisions and iterate on the dashboard design and functionality based on client's feedback.