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I will hyperparameter tuning and fix overfitting
About this Gig
Are you struggling with a low-accuracy machine learning model? Is your model facing overfitting or underfitting issues during evaluation? I am here to help you optimize and supercharge your ML projects for peak performance!
As a machine learning developer, I specialize in fine-tuning algorithms to ensure they generalize perfectly on unseen data. Whether you are working with classification, regression, or complex predictive models, I will thoroughly analyze your script and tune it to achieve the highest possible accuracy.
What I Offer:
- Fix Overfitting & Underfitting: Balancing training and validation metrics to ensure stability.
- Hyperparameter Tuning: Expert optimization using GridSearch, RandomizedSearch, or Optuna.
- Feature Engineering & Selection: Cleaning data, handling missing values, and selecting impactful features.
- Model Evaluation: Deep dive into metrics like Precision, Recall, F1-Score, MAE, and RMSE.
- Code Optimization: Clean, well-commented Pytho
Programming Language:
Python
AI Model Frameworks & Tools:
Google Colab
•
Jupyter Notebooks
Data Type:
Other
AI Engine:
Other
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What information or files do I need to provide to start?
You will need to provide your current Python code/script (Jupyter Notebook or Python file) along with the dataset (CSV, Excel, etc.) or clear sample data, and a brief note about your current performance metrics and target accuracy.
Which machine learning frameworks and libraries do you work with?
I primarily work with Python and utilize industry-standard libraries such as Scikit-Learn, Pandas, NumPy, and XGBoost to handle data preprocessing and model optimization.
