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I will build machine learning models for prediction and classification
Machine Learning and Computer Vision Engineer
I’m a Computer Science graduate specializing in Machine Learning, Deep Learning, and Computer Vision. I help startups, businesses, and software teams build practical AI solutions for data, image, and ...
About this Gig
Need a machine learning model for prediction or classification?
I will build a Python-based machine learning solution from your CSV, Excel, or other structured dataset, including preprocessing, model development, evaluation, and clear results.
This Gig is suitable when you need to predict an outcome, classify records, or build a regression model from structured data.
What I can help with
- Classification models
- Regression and prediction models
- Data preprocessing and cleaning
- Feature preparation and engineering
- Model training and evaluation
- Model comparison
- Performance metrics and visualizations
- Scikit-learn based ML solutions
What you can receive
- Depending on your package:
- Preprocessed dataset
- Trained machine learning model
- Python source code
- Evaluation metrics
- Model visualizations
- Model comparison
- Documentation and usage instructions
I work primarily with Python, Pandas, NumPy, and Scikit-learn, selecting an appropriate modeling approach based on your data and requirements.
Before starting, I will review your dataset and objective to make sure the requested scope is suitable for the selected package.
Other Data Science & ML Services I Offer
FAQ
What type of datasets can you work with?
I work primarily with structured or tabular datasets such as CSV, Excel, and similar data containing numerical or categorical features. Please share your dataset and requirements so I can confirm the scope before starting.
Can you build both classification and regression models?
Yes. I can build classification models for predicting categories or classes and regression models for predicting numerical values, depending on your dataset and objective.
Can you work with my custom dataset?
Yes. I can develop the model around your specific dataset and prediction objective. The modeling approach will be selected based on the characteristics of your data and requirements.
Which machine learning algorithms do you use?
I select appropriate algorithms based on your problem and dataset. Depending on the project, this may include Logistic Regression, Linear Regression, Decision Trees, Random Forest, Gradient Boosting, and other suitable Scikit-learn algorithms.
Will you preprocess and clean my dataset?
Yes. Data preprocessing can include handling missing values, encoding categorical variables, scaling features, removing or addressing problematic data, and preparing the dataset for machine learning. The exact scope depends on the selected package.
Will you evaluate the machine learning model?
Yes. I will evaluate the model using appropriate performance metrics for your problem, such as accuracy, precision, recall, F1-score, ROC-AUC, MAE, MSE, RMSE, or R² where applicable.
Do you provide the Python source code?
Yes. Python source code is included with all packages. Depending on the package, you can also receive the trained model, evaluation results, visualizations, and documentation.
Can you handle a project that is larger than the package limits?
Yes. If your dataset, preprocessing requirements, number of models, or other requirements exceed the package scope, contact me first. I can review the project and provide a custom offer based on its complexity.
