I will analyze your dataset and build a basic machine learning model
PhD
About this Gig
Do you want to understand whether your data can be used for prediction or classification?
I will analyze your dataset and build a basic machine learning model using Python and scikit-learn.
This service is suitable for exploratory predictive analysis, classification problems, regression problems, feature importance analysis and model comparison.
What I can do:
- Clean and prepare your dataset
- Perform exploratory data analysis
- Split data into training and test sets
- Build basic machine learning models
- Compare model performance
- Evaluate metrics such as accuracy, precision, recall, F1-score, RMSE or R²
- Identify the most important variables
- Provide a clear summary of results and limitations
Important: machine learning results depend strongly on data quality, dataset size and available variables. I do not promise unrealistic accuracy. My goal is to provide a technically correct and useful analysis.
Domain:
Machine Learning
•
Deep Learning
•
Time Series Analysis
Expertise:
Feature learning
•
Clustering
•
Predictive analysis
Programming language:
Python
•
R
Tools:
Jupyter Notebook
•
Colab
Technology:
Python
•
R
•
PyTorch
•
Keras
•
scikit-learn
•
NoSQL

