I will build a machine learning model using python and scikit learn


About this gig
I will build a machine learning model using Python and Scikit-learn for your dataset. I can handle data preprocessing, feature engineering, model training, evaluation, and visualization, with clean code and clear documentation. I can work on classification, regression, and other machine learning problems based on your requirements.
Get to know Muhammad Jabran
AI ML Engineer, Python, Machine Learning and Data Science
- FromPakistan
- Member sinceSep 2026
Languages
Urdu
FAQ
What information do you need to start the project?
I need your dataset, project requirements, target variable (if applicable), and any specific requirements or preferences you have.
What types of machine learning problems can you handle?
I can work on classification, regression, clustering, prediction, and other machine learning tasks using Python and Scikit-learn.
Which machine learning algorithms can you use?
Depending on the problem, I can use algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, SVM, Naive Bayes, and other suitable Scikit-learn models.
Will you preprocess my dataset?
Yes. Depending on the package, I can handle tasks such as missing values, encoding, scaling, feature selection, and other necessary preprocessing.
Will you compare multiple machine learning models?
Yes. Standard and Premium packages can include multiple models and performance comparison to identify suitable approaches for your problem
Will I receive the source code?
Yes. You will receive clean and organized Python/Scikit-learn source code according to the selected package.
Can you work with my specific dataset?
Yes. Please contact me before ordering if you have a specific or complex dataset so I can review your requirements and confirm the appropriate package
Can you guarantee a specific model accuracy?
No. Model performance depends on the quality, size, and characteristics of the dataset and the specific problem. I will select and evaluate appropriate approaches based on your requirements.

