I will build machine learning models using python and scikit learn
Full Stack Developer
About this Gig
Need a machine learning model for your dataset?
I will build a machine learning model using Python and Scikit-learn for classification, regression, prediction, research, or custom projects.
What I can help with:
- Data cleaning & preprocessing
- Feature engineering
- Feature encoding & scaling
- Classification & regression
- Model training & testing
- Cross-validation
Hyperparameter tuning
Model comparison & evaluation
Data visualization
Algorithms I can work with:
- Logistic Regression
- Linear Regression
- Decision Tree
- Random Forest
- KNN
- SVM
- Naive Bayes
- Gradient Boosting,
- and other Scikit-learn algorithms.
What you will receive:
- Clean Python code
- Jupyter Notebook
- Trained machine learning model
- Model evaluation & performance metrics
- Visualizations
- Results and explanation
- Support for CSV, Excel, and common dataset formats
How it works:
- Send your dataset and requirements
- I clean and analyze your data
- I train, tune, and evaluate the model
- I deliver the final code, notebook, and results
Please message me before placing an order so I can review your dataset and recommend the right package.
My Portfolio
FAQ
What do you need to get started?
Please send your dataset, project requirements, and expected output.
Which datasets can you work with?
I can work with CSV, Excel, and other common dataset formats.
Can you build both classification and regression models?
Yes, I can build and evaluate both classification and regression models using Scikit-learn.
Will I receive the source code?
Yes, you will receive clean Python code and a Jupyter Notebook with the model and results.
Can you tune and compare multiple models?
Yes, I can compare different algorithms and perform hyperparameter tuning to find a suitable model.
