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You will get Building and Training Custom Machine Learning Models with Tkinter

Mohamed A.Status: Offline
Mohamed A.
Preview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Mohamed, priced and ready to go.
Mohamed A.Status: Offline
Mohamed A.
Preview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Mohamed, priced and ready to go.

Project details

I will build and deliver a complete machine learning solution tailored to your dataset. The dataset should contain at least 10,000 records and may not be fully clean — I will handle preprocessing to fix missing values, outliers, and categorical variables. After preparing the data, I will test multiple models, tune hyperparameters, and select the best-performing approach. The final model will be trained, evaluated with clear metrics, and integrated into a simple Tkinter-based user interface (API) for easy prediction. Deliverables will include the trained model, preprocessing scripts, and a step-by-step report of the entire workflow.
Machine Learning Tools
MLflow, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy
What's included
Service Tiers Starter
$5
Standard
$15
Advanced
$25
Delivery Time 3 days 2 days 2 days
Number of Revisions
136
Number of Model Variations
235
Number of Scenarios
136
Number of Graphs/Charts
355
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$5
Additional Graph/Chart (+ 2 Days)
+$5
Mohamed A.Status: Offline

About Mohamed

Mohamed A.Status: Offline
Machine Learning | Deep Learning Engineer
Tanta, Egypt - 1:57 am local time
I specialize in designing, developing, and deploying scalable artificial intelligence systems that transform complex, raw data into actionable, real-world solutions. Leveraging my expertise in Scikit-Learn, XGBoost, OpenCV, and Python/SQL, I build and optimize end-to-end machine learning pipelines — from data preprocessing and feature engineering to model training, evaluation, and production deployment. With a strong foundation in mathematics, statistics, and algorithmic thinking, I integrate theory with practical engineering to deliver highly accurate, production-ready models that drive measurable impact.

Steps for completing your project

After purchasing the project, send requirements so Mohamed can start the project.

Delivery time starts when Mohamed receives requirements from you.

Mohamed works on your project following the steps below.

Revisions may occur after the delivery date.

Data upload & validation

Client uploads the dataset (CSV). I check format, size (≥10,000 rows), and basic integrity.

Initial exploratory analysis (EDA)

Review the work, release payment, and leave feedback to Mohamed.