I will build predictive machine learning models for classification and regression
Data Analyst and MEAL Specialist
About this Gig
Need help building a machine learning model for classification or regression? I will build, train, evaluate, and optimize a machine learning solution using Python and industry-standard tools such as Scikit-learn, TensorFlow, and PyTorch.
What I can help with:
Classification and regression models
Data preprocessing and feature engineering
Missing-value handling and categorical encoding
Feature scaling and train/test splitting
Model selection and comparison
Cross-validation and hyperparameter tuning
Model testing and performance evaluation
Clear visualizations and interpretation
Classification: Logistic Regression, Decision Trees, Random Forest, SVM, KNN, and neural networks.
Regression: Linear Regression, Ridge, Lasso, Decision Tree, Random Forest, SVR, and neural networks.
Evaluation: Accuracy, Precision, Recall, F1-score, ROC-AUC, confusion matrix, MAE, MSE, RMSE, and R².
Tools: Python, Scikit-learn, TensorFlow/Keras, PyTorch, Pandas, NumPy, Matplotlib, Seaborn, and Jupyter Notebook.
You will receive clean, documented source code, preprocessing workflows, trained models, evaluation results, and explanations.
Please contact me before ordering with your dataset and project requireme
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Google ML Kit
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Keras
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PyTorch
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Panda
Tools:
Jupyter Notebook
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TensorFlow
•
Colab
•
Azure ML Studio
•
RStudio
My Portfolio
FAQ
What type of machine learning problems can you solve?
I work primarily with supervised machine learning problems involving classification and regression
Can you work with my own dataset?
Yes. You can provide a CSV, Excel file, or another suitable dataset.
Can you preprocess my data?
Yes. Depending on your dataset, preprocessing can include missing-value handling, categorical encoding, scaling, feature engineering, and preparation of training and testing data.
