You will get an efficient machine learning model that can make predictions on your data.

Forest H.Status: Offline
Forest H.

Let a pro handle the details

Buy Machine Learning services from Forest, priced and ready to go.
Forest H.Status: Offline
Forest H.

Let a pro handle the details

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

Project details

You will get a machine learning model that is fast and efficient. The model will be sure to answer any questions we agree to at the start of the project. The project will be returned within the alloted time.

What's included $900

These options are included with the project scope.

$900
  • Delivery Time 3 days
  • Number of Revisions 3
  • Number of Model Variations 3
  • Number of Scenarios 1
  • Number of Graphs/Charts 3
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
Optional add-ons You can add these on the next page.
Fast 2 Days Delivery
+$300
Additional Model Variation (+ 1 Day)
+$300
Forest H.Status: Offline

About Forest

Forest H.Status: Offline
Data Analyst
Dade City, United States - 7:52 am local time
I am self-motivated and determined to analyze the working mechanics of the natural world. I am highly capable of telling the story behind complex, multi-dimensional, time-dependent data. I'd be interested in predicting tomorrow's crypto prices with qubit-based machine learning. I thrive in small team environments where I can work with like-minded individuals.

Gallup Top 5 CliftonStrengths: Ideation, Self-Assurance, Significance, Achiever, Includer

Security Clearance: Secret (Inactive)

He/ Him

Steps for completing your project

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

Delivery time starts when Forest receives requirements from you.

Forest works on your project following the steps below.

Revisions may occur after the delivery date.

Acquire

Collect dataset.

Prepare

Tidy the data for statistical analysis.

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