You will get on machine learning and deep learning using python and keras
Project details
You will receive a well-trained machine learning model customized to meet your specific needs and requirements. This model will be developed using state-of-the-art algorithms and tailored to address the unique challenges and goals of your project. Whether you need a model for classification, regression, clustering, or any other task, it will be optimized for accuracy, performance, and scalability.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 7 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 2 | 5 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Md Siddiqur
Artificial Intelligence, Machine learning, Deep learning
Paris, France - 4:15 am local time
Steps for completing your project
After purchasing the project, send requirements so Md Siddiqur can start the project.
Delivery time starts when Md Siddiqur receives requirements from you.
Md Siddiqur works on your project following the steps below.
Revisions may occur after the delivery date.
Start by data visualization
Start by data visualization to transform raw data into insightful visual representations. This approach helps in quickly identifying trends, patterns, and outliers, making complex data more accessible and comprehensible for effective decision-making.
Feature Engineering
Create new features from existing data to improve model performance. Techniques include normalization, encoding categorical variables, and deriving new variables.