You will get Machine Learning and Deep Learning Moldes
Project details
With hands-on experience in real-world AI applications, I develop custom Machine Learning and Deep Learning models tailored to your unique business needs. From YOLO-based object detection to predictive analytics, I deliver scalable, clean, and production-ready solutions. Whether it's model deployment, data preprocessing, or full MLOps integration, my service ensures quality, flexibility, and results you can rely on.
Machine Learning Tools
BERT, Keras, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 0 | 2 | 0 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
About Kartiste
AI & Machine Learning Specialist
Paris, France - 8:47 am local time
Additionally, I develop artificial intelligence applications such as time series forecasting, classification, and prediction. In the field of computer vision, I use OpenCV for object detection, segmentation, and analysis.
Steps for completing your project
After purchasing the project, send requirements so Kartiste can start the project.
Delivery time starts when Kartiste receives requirements from you.
Kartiste works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review client’s goals, dataset (if available), and expectations. Define problem type and model scope (classification, regression, detection, etc.).
Data Preprocessing & Exploration
Clean, normalize, and visualize the dataset. Perform feature engineering or augmentation if necessary.