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You will get a machine learning model for your prediction problem.
Project details
I will build a Machine Learning model to help you solve your prediction problem using your own data. I can handle data preparation, analysis, model training, and evaluation using Python and Scikit-learn. I will also provide the source code and, depending on the selected package, create a simple Streamlit interface that makes the model easier to use. My goal is to provide a clear and practical solution that helps you get useful predictions from your data.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$5
|
Standard
$10
|
Advanced
$15
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 1 | 1 |
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
+$7 - $17
Additional Revision
+$10
Additional Graph/Chart
(+ 2 Days)
+$15
Model Documentation
(+ 2 Days)
+$15Frequently asked questions
About Mariem
Machine Learning
Suez, Egypt - 8:25 am local time
I can help with:
* Data cleaning and preprocessing
* Exploratory data analysis
* Machine learning model development
* Model evaluation and performance analysis
* Classification and prediction problems
* Deploying ML models using Streamlit and FastAPI
I work with Python, Pandas, NumPy, Scikit-learn, SQL, Streamlit, and FastAPI.
I care about writing clean, organized code and delivering practical solutions that match the project requirements.
Steps for completing your project
After purchasing the project, send requirements so Mariem can start the project.
Delivery time starts when Mariem receives requirements from you.
Mariem works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation
I will clean and prepare the dataset and handle missing or unsuitable data.
Data Analysis
I will analyze the data and identify the important features for the prediction problem.