You will get a custom machine learning model for predictive analytics and deployment
Project details
You will get a fully functional and well-optimized machine learning model tailored to your specific needs, whether it's predictive analytics, classification, or data insights. With over 2 years of expertise in Python and C++ for AI/ML, I am committed to delivering high-quality, efficient, and scalable solutions. My approach includes thorough data analysis, model validation, and deployment strategies to ensure the results exceed your expectations.
Machine Learning Tools
Apache Spark MLlib, ChatGPT, Google Sheets, Keras, MATLAB, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, TensorFlow, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 3 |
Number of Scenarios | 1 | 2 | 4 |
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
+$50
Additional Model Variation
(+ 1 Day)
+$100
Additional Scenario
(+ 1 Day)
+$75
Additional Graph/Chart
+$30Frequently asked questions
About Abdennacer
Software Developer and Data Scientist
Marrakech, Morocco - 6:20 pm local time
I specialize in designing reliable, scalable systems and turning abstract ideas into real, high-impact solutions.
-Tech Stack: Python, JS/TS, Laravel, Odoo, MongoDB, MySQL
-Focus Areas: Data Science · LLM Evaluation, AI Integration, System Architecture
Steps for completing your project
After purchasing the project, send requirements so Abdennacer can start the project.
Delivery time starts when Abdennacer receives requirements from you.
Abdennacer works on your project following the steps below.
Revisions may occur after the delivery date.
Client Purchases the Project and Sends Requirements
-The client provides the dataset or requests assistance in sourcing it. -Objectives and desired outcomes are clarified. -Any specific preferences for tools, algorithms, or deployment are shared.
Data Preprocessing and Model Development
-Data cleaning, preprocessing, and feature engineering are performed. -Machine learning models are trained and fine-tuned according to project requirements.