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You will get ML Magic :End-to-End Machine Learning Model in Python and Jupyter Notebook
Project details
1.Made by Expert ML Engineers: Developed by skilled professionals in machine learning.
2. High-Quality Code: Code is top-notch, clear, and reliable.
3. Fast Delivery: Results are delivered quickly without compromising accuracy.
2. High-Quality Code: Code is top-notch, clear, and reliable.
3. Fast Delivery: Results are delivered quickly without compromising accuracy.
Machine Learning Tools
Azure Machine Learning, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, Word2vecWhat's included
| Service Tiers |
Starter
$25
|
Standard
$45
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 4 | 8 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$10
Additional Scenario
(+ 1 Day)
+$15
Additional Graph/Chart
+$2About Abdalla
Data Scientist, Data Engineering, Data Analytics, and BI Analyst
Istanbul, Turkey - 6:19 am local time
Steps for completing your project
After purchasing the project, send requirements so Abdalla can start the project.
Delivery time starts when Abdalla receives requirements from you.
Abdalla works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing
Clean and pre-process the data to handle missing values, outliers, and inconsistencies.
Feature Engineering
Select, create, or transform features to improve model performance. Data Splitting: Divide the dataset into training, validation, and test sets.