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I will build a machine learning prediction web app using python
Python Developer, Machine Learning and AI Applications
I am a Python developer and BS Robotics student with hands-on experience in machine learning and AI applications. I built Annie V1, a privacy-first AI companion using Python, SQLite, Ollama, and local...
About this Gig
Do you need a Machine Learning model that can make predictions from your dataset?
I will build a custom classification model using Python and Scikit-learn. I can clean and preprocess your data, train suitable models, evaluate their performance, and provide clear, commented source code.
Depending on the selected package, your project may include:
- Data preprocessing and cleaning
- Categorical feature encoding
- Machine Learning model creation
- Model comparison and evaluation
- Accuracy score, confusion matrix, and classification report
- Model testing and basic optimization
- Saved model using Joblib
- Simple Gradio prediction web app
- Commented Python source code
- Instructions for running the project
I have built a complete Conversation Interest Predictor using Decision Tree classification, Scikit-learn pipelines, cross-validation, Joblib, and Gradio.
I can work on classification projects such as:
- Student performance prediction
- Customer behaviour prediction
- Conversation interest prediction
- Employee outcome prediction
- Pass/fail prediction
- Other structured-data classification tasks
Please contact me before ordering so I can review your dataset, target variable, and project requirements.
Note: Model
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
•
Other
Tools:
Jupyter Notebook
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Excel
•
Colab
•
Other
FAQ
1. What type of Machine Learning projects do you accept?
I work on structured-data classification projects such as student performance prediction, customer behaviour prediction, pass/fail prediction, employee outcome prediction, and similar prediction tasks.
2. Do I need to provide the dataset?
Yes. Please provide the dataset in CSV or Excel format along with a short explanation of the columns and the target variable you want to predict.
3. Can you guarantee a specific accuracy?
No. Model accuracy depends on the quality, quantity, balance, and relevance of the dataset. I will evaluate the model properly, but I cannot guarantee a fixed accuracy percentage.
4. What will I receive with the source code?
You will receive organized Python code with helpful comments. Depending on the package, this may include preprocessing, model training, evaluation, model saving, and a Gradio prediction interface.
5. Which Machine Learning algorithms do you use?
I select an appropriate classification algorithm based on the dataset. This may include Decision Tree, Logistic Regression, Random Forest, K-Nearest Neighbors, or another suitable Scikit-learn model.
6. Will you build a web interface for the model?
A simple Gradio prediction web app is included only in the Premium package. Basic and Standard packages mainly focus on model development and evaluation.
7. Do you provide cloud deployment or API integration?
Cloud deployment and custom API integration are not included in the current packages. These may be discussed separately depending on the project requirements.
8. Should I contact you before ordering?
Yes. Please contact me before placing an order so I can review your dataset, target variable, expected output, and project scope.
