You will get E2E datasets Models with Data Cleaning, Scaling, Neural Network Training
Project details
This project provides a clean, efficient, and fully functional machine-learning workflow built specifically for CSV datasets. It includes data loading, preprocessing, scaling, model training, performance evaluation, and visualization—all implemented using industry-standard tools like Pandas, Scikit-Learn, TensorFlow, and Matplotlib.
What sets this project apart is its simplicity and clarity: the code is structured, easy to understand, and ready for customization. Whether the client wants a basic model or a deeper enhancement, the workflow is designed to be scalable, stable, and accurate. This makes it ideal for students, researchers, or anyone who needs a reliable ML model built on their own dataset.
What sets this project apart is its simplicity and clarity: the code is structured, easy to understand, and ready for customization. Whether the client wants a basic model or a deeper enhancement, the workflow is designed to be scalable, stable, and accurate. This makes it ideal for students, researchers, or anyone who needs a reliable ML model built on their own dataset.
AI Development Type
Deep LearningAI Tools
TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$70
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $40
Additional Revision
+$10
Extra request
(+ 2 Days)
+$40Frequently asked questions
About Amr
This depends on what you ask
Zagazig, Egypt - 6:58 am local time
Specialized in building AI models using modern machine learning techniques and neural networks such as ANNs, CNNs, RNNs, and more. Focused on model design, training, optimization, and turning algorithms into real, usable solutions.
I develop models for computer vision, text understanding, and audio processing using:
TensorFlow, Keras, Scikit-learn, NumPy, Pandas
Expertise includes:
Building and training deep neural networks
Improving model performance and training pipelines
Data preprocessing and feature engineering
Developing advanced architectures for practical applications
Whether you need a model built from scratch or an existing one improved, I deliver clean, efficient, and scalable AI solutions.
Steps for completing your project
After purchasing the project, send requirements so Amr can start the project.
Delivery time starts when Amr receives requirements from you.
Amr works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing
Clean the dataset, handle missing values, and scale features as needed.
Model Building & Training
Construct and train the neural network according to the selected tier.