You will get Custom Machine Learning and Deep Learning Solutions for Data Insights
Project details
What sets this project apart is a tailored approach, ensuring that each solution is customized to meet your specific needs, whether you're a beginner or an advanced user. My expertise in both machine learning and deep learning allows me to create models that are not just accurate but also efficient and scalable. I prioritize clear communication, offering you a transparent process and hands-on guidance throughout the project, ensuring you fully understand the solution and can confidently implement it in your work. This personalized and thorough approach guarantees a result that truly aligns with your goals.
Machine Learning Tools
Microsoft Excel, NLTK, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$5
|
Standard
$8
|
Advanced
$12
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 3 | 6 | Unlimited |
Number of Model Variations | 2 | 5 | 7 |
Number of Scenarios | 2 | 5 | 7 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Additional Model Variation
(+ 2 Days)
+$5
Additional Graph/Chart
(+ 2 Days)
+$5
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DA
Dill A.
Dec 22, 2025
AI Model Development
He did an excellent job and delivered everything on time. Very professional, cooperative, and easy to work with. I’d be happy to work with him again.
About Hamza
Expert Machine Learning/Deep Learning AI Specialist | Data Scientist |
Karachi, Pakistan - 12:26 am local time
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
We'll begin by understanding your specific needs, objectives, and the scope of the project. I'll review the data and any additional materials you provide.
Data Preparation
I'll clean, preprocess, and explore the dataset to ensure it's ready for modeling. This includes handling missing values, encoding categorical variables, and feature scaling.