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Fiverr Pro
English
$
USD
I will build a machine learning model for classification and prediction in python
About this Gig
Need a Machine Learning Model That Actually Works? You're in the Right Place.
I will build a custom Python machine learning model tailored to your
dataset and business problem whether you need to classify data,
predict outcomes, or uncover patterns in your numbers.
WHAT I SPECIALIZE IN
Classification Models spam detection, customer churn,
disease prediction, sentiment tagging & more
Regression & Prediction Models sales forecasting,
price prediction, demand estimation & more
Data Preprocessing & Feature Engineering
Model Evaluation & Performance Optimization
Clean, well-commented Python code (scikit-learn)
WHAT YOU WILL RECEIVE
Trained ML model ready to use
Clean Jupyter Notebook with full code
Performance report (accuracy, F1, RMSE, etc.)
Data visualizations & charts
Step-by-step explanation of results
️ TOOLS & TECHNOLOGIES
Python | Scikit-learn | Pandas | NumPy |
Matplotlib | Seaborn | Jupyter Notebook
WHY WORK WITH ME
Certified in Data Science & AI
Hands-on project experience in classification & regression
Clear communication & timely delivery
Revisions until you are satisfied
Fully documented code you can understand & reuse
PERFECT FOR-startups,students
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Google ML Kit
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
Excel
FAQ
What data do I need to provide?
You need to share your dataset (CSV, Excel, or similar format) along with a clear description of what you want to predict or classify. The cleaner the data, the better the results.
What if my dataset is messy or incomplete?
No worries! Basic data cleaning and preprocessing is included in all packages. For heavily messy datasets, I recommend the Standard or Premium package
Will I be able to understand and reuse the code?
Absolutely. All code is written in clean, well-commented Python inside a Jupyter Notebook so you can read, understand, and reuse it easily — even with basic Python knowledge.
How do I know if the model is accurate enough?
I provide a full performance report with metrics like Accuracy, F1 Score, Precision, Recall (for classification) or RMSE, R² (for regression) so you can judge the quality yourself.
Can you deploy the model as an API or web app?
Basic deployment is included in the Premium package. For advanced deployment (Flask API, Streamlit app, cloud hosting), message me and we can discuss a custom order.
