You will get a simple predictive model using python

Dhruv S.Status: Offline
Dhruv S.

Let a pro handle the details

Buy Data Modeling services from Dhruv, priced and ready to go.
Dhruv S.Status: Offline
Dhruv S.

Let a pro handle the details

Buy Data Modeling services from Dhruv, priced and ready to go.

Project details

Unlock the potential of your data with predictive modeling solutions. I offer machine learning services to build models that forecast trends, behaviors, or outcomes pertinent to your business needs. Utilizing Python and libraries such as Scikit-learn and TensorFlow, I develop and validate models tailored to your specific objectives, whether it’s sales forecasting, customer segmentation, or risk assessment. My approach ensures that the models are not only accurate but also interpretable, providing you with actionable insights to drive strategic decisions.
Data Tool
scikit-learn

What's included $150

These options are included with the project scope.

$150
  • Delivery Time 3 days
  • Number of Revisions 1
Optional add-ons You can add these on the next page.
Model Validation/Testing
+$1
Dhruv S.Status: Offline

About Dhruv

Dhruv S.Status: Offline
AI Development | Data Analysis | Data Engineering
Waterloo, Canada - 12:39 am local time
Experienced professional with 6+ years in customer service and recent completion of a Data Analytics Bootcamp at U of T SCS. Skilled in data analysis and customer insights, I aim to leverage my expertise to drive business growth and enhance customer experiences through data-driven solutions.
I specialize in building basic predictive model like trend forecasting, data cleaning and proper storage and creating interactive dashboards.
My background in customer service and hospitality management allows me to understand client needs and deliver insights that drive business decisions.

Steps for completing your project

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

Delivery time starts when Dhruv receives requirements from you.

Dhruv works on your project following the steps below.

Revisions may occur after the delivery date.

Understand the Problem

Clarify the target variable, input features, and goals

Prepare the Data

Clean and preprocess data (e.g., handle missing values, encode categorical variables). Split the dataset into training and testing sets.

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