You will get I will build a machine learning model to predict your sales trends.

Dia S.Status: Offline
Dia S.

Let a pro handle the details

Buy Machine Learning services from Dia, priced and ready to go.
Dia S.Status: Offline
Dia S.

Let a pro handle the details

Buy Machine Learning services from Dia, priced and ready to go.

Project details

You will get a custom sales prediction model that helps your business make smarter, data‑driven decisions. With hands‑on experience in machine learning and real projects like Walmart weekly sales forecasting, I understand how to transform raw sales data into accurate predictions you can trust.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn
What's included
Service Tiers Starter
$149
Standard
$249
Advanced
$349
Delivery Time 5 days 10 days 14 days
Number of Revisions
244
Number of Model Variations
257
Number of Scenarios
246
Number of Graphs/Charts
368
Model Validation/Testing
Model Documentation
-
-
Data Source Connectivity
Source Code
-
Dia S.Status: Offline

About Dia

Dia S.Status: Offline
Streamlit Dashboard Expert and AI Workflows with Zapier and Make
Nagpur, India - 5:12 pm local time
I am a Streamlit Dashboard Developer and Make/Zapier expert.

I specialize in building interactive and clear streamlit dashboards that help you visualize your data and make data driven decisions.

Alongside dashboards, I’m experienced in automation platforms like Zapier and Make. I’ve built workflows that automatically handle sales summaries, email notifications, and AI based customer feedback sentiments, connecting tools like Google Sheets, Airtable and Gmail.

Steps for completing your project

After purchasing the project, send requirements so Dia can start the project.

Delivery time starts when Dia receives requirements from you.

Dia works on your project following the steps below.

Revisions may occur after the delivery date.

Understand the data and what needs to be predicted

Cleaning the data.

Filling the null values, Formatting the data, processing the data if needed.

Review the work, release payment, and leave feedback to Dia.