You will get Deep Learning and Machine Learning Modeling

Project details
I offer assistance in developing tailored Machine Learning and Deep Learning solutions for a diverse range of data, including image, text, and Natural Language Processing (NLP). These solutions are meticulously designed to align with your specific business or research requirements.
My comprehensive process encompasses a deep understanding of your project objectives, thorough data preprocessing, robust model development, rigorous evaluation, and detailed final documentation.
The resulting models are versatile and highly applicable to a variety of tasks such as classification, prediction, anomaly detection, customer segmentation, and much more. Every project is meticulously crafted to deliver models that are accurate, efficient, and user-friendly.
My comprehensive process encompasses a deep understanding of your project objectives, thorough data preprocessing, robust model development, rigorous evaluation, and detailed final documentation.
The resulting models are versatile and highly applicable to a variety of tasks such as classification, prediction, anomaly detection, customer segmentation, and much more. Every project is meticulously crafted to deliver models that are accurate, efficient, and user-friendly.
Machine Learning Tools
Keras, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 2 | 5 | Unlimited |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Restu
Python, Data Science, Microsoft Office, Machine Learning, Data Entry
Magelang, Indonesia - 4:18 am local time
Steps for completing your project
After purchasing the project, send requirements so Restu can start the project.
Delivery time starts when Restu receives requirements from you.
Restu works on your project following the steps below.
Revisions may occur after the delivery date.
Understand project scope
Review dataset, objectives, and project constraints from the client.
Data preprocessing
Clean, explore, and transform the dataset for model training.


