You will get a Python ML model with predictions and evaluation
Project details
I build Python machine learning models for prediction, classification, and basic text classification using structured business data.
You will receive a trained ML model, prediction output, evaluation metrics, charts, reusable Python notebook or source code, and a concise result summary. This project is suitable for tasks such as customer churn prediction, risk classification, sales or price prediction, delivery delay prediction, lead scoring, and basic sentiment or category classification.
Depending on the package, I can clean and preprocess your dataset, handle missing values, encode features, train one or more model variations, evaluate performance, create charts, and explain the key results in a clear summary.
This service focuses on practical, explainable machine learning using Python, pandas, scikit-learn, XGBoost, and related tools.
You will receive a trained ML model, prediction output, evaluation metrics, charts, reusable Python notebook or source code, and a concise result summary. This project is suitable for tasks such as customer churn prediction, risk classification, sales or price prediction, delivery delay prediction, lead scoring, and basic sentiment or category classification.
Depending on the package, I can clean and preprocess your dataset, handle missing values, encode features, train one or more model variations, evaluate performance, create charts, and explain the key results in a clear summary.
This service focuses on practical, explainable machine learning using Python, pandas, scikit-learn, XGBoost, and related tools.
Machine Learning Tools
Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, Scrapy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$95
|
Standard
$200
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25
Additional Model Variation
(+ 2 Days)
+$60
Additional Scenario
(+ 2 Days)
+$50
Additional Graph/Chart
(+ 1 Day)
+$10
Data Source Connectivity
(+ 2 Days)
+$100Frequently asked questions
About Yuzheng
Data Analyst | Excel, SQL, Python, Power BI & Automation
Ningbo, China - 3:33 pm local time
I can help with messy Excel or CSV files, SQL-based reporting data, data cleaning workflows, dashboard-ready datasets, and automated data collection from public web sources or APIs.
Services I can support include:
- Excel and CSV data cleaning
- Data formatting and standardization
- SQL queries for reporting and analysis
- Power BI dashboard preparation
- Python data automation with pandas
- Public web data collection and website data extraction
- API data extraction and JSON data processing
- Product price monitoring and competitor data tracking
- Repeated file processing and reporting workflows
- Machine learning and prediction analysis
Tools I use:
- Excel
- SQL / MySQL
- Python
- pandas
- requests
- Playwright
- Power BI
- scikit-learn
I focus on clean deliverables, clear communication, and reproducible workflows. If you have messy data, repeated reporting tasks, public web data to collect, or data that needs to be turned into a usable report or dashboard, I can help prepare a practical solution.
Steps for completing your project
After purchasing the project, send requirements so Yuzheng can start the project.
Delivery time starts when Yuzheng receives requirements from you.
Yuzheng works on your project following the steps below.
Revisions may occur after the delivery date.
Review data and goal
I will review your dataset, target column, task type, required outputs, and package scope before starting.
Prepare the dataset
I will clean the data, handle missing values, encode features, and prepare the dataset for model training.