You will get Custom AI and Machine Learning Model Development


Project details
Are you looking to leverage the power of machine learning for your business? I specialize in designing and developing machine learning models tailored to your unique needs. With my expertise in AI and data science, I can help you build solutions that solve complex problems and drive results.
Machine Learning Tools
Amazon SageMaker, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 4 days | 2 days | 1 day |
Number of Revisions | 1 | 2 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
About Rowida
Machine learning Engineer | Deep Learning Engineer
Alexandria, Egypt - 2:57 am local time
I offer specialized services for managers, sales teams, and finance departments focusing on forecasting and decision-making. Additionally, I cater to healthcare providers, retail businesses, marketers, and logistics companies by improving patient outcomes, refining inventory management, and personalizing customer engagement strategies.
Core Technical Skills:
✔Machine Learning & Deep Learning Models
✔Predictive Analytics & Forecasting
✔Natural Language Processing (NLP)
✔AI Frameworks: TensorFlow, Keras, PyTorch
✔Python Programming Language
✔Data Clustering & Customer Segmentation (K-means)
✔Data Visualization (Matplotlib, Seaborn)
✔Cloud Services: AWS (SageMaker, EC2)
Whether you're in healthcare, retail, marketing, or logistics, let's arrange a meeting to explore how AI can enhance your business.
Steps for completing your project
After purchasing the project, send requirements so Rowida can start the project.
Delivery time starts when Rowida receives requirements from you.
Rowida works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
Discuss the project goals, data availability, and specific needs. Define the problem and determine the suitable AI/ML approach.
Data Collection & Preparation
Gather relevant data (structured or unstructured) from various sources Preprocess the data, including cleaning, normalizing, and feature engineering