You will get "Machine Learning Model Trained for Accurate and Efficient Predictions"
Project details
I am a machine learning expert with extensive experience in building and training models, analyzing data, and making accurate predictions. I specialize in various machine learning techniques, including regression, classification, clustering, deep learning, and natural language processing. I am proficient in Python and various machine learning libraries, such as TensorFlow, PyTorch, and Scikit-learn. If you need a machine learning expert to help you build models, analyze data, and make accurate predictions, then don't hesitate to contact me. I'm here to help you achieve your goals and unlock the full potential of your data.
Machine Learning Tools
MATLAB, Microsoft Excel, pandas, Python, R, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$140
|
Standard
$300
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 3 | 3 | 3 |
Number of Model Variations | 3 | 4 | 2 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $30
Additional Revision
+$5
Additional Model Variation
(+ 2 Days)
+$30
Additional Scenario
(+ 2 Days)
+$40
Additional Graph/Chart
(+ 1 Day)
+$20About Butt
Video Animator I ML Expert I AI Specialist I Machine Vision I BioMedic
Lahore, Pakistan - 3:13 am local time
Services Offered:
I offer a range of machine learning services, including:
Data analysis and modeling
Predictive modeling and forecasting
Natural language processing
Computer vision and image processing
Deep learning and neural networks
Data visualization and reporting
Steps for completing your project
After purchasing the project, send requirements so Butt can start the project.
Delivery time starts when Butt receives requirements from you.
Butt works on your project following the steps below.
Revisions may occur after the delivery date.
Data preprocessing
cleaning, transforming, and normalizing data to make it ready for modeling.
Model selection and training
selecting the appropriate algorithm and model architecture, and fine-tuning hyperparameters to achieve optimal performance.