I will build machine learning models using python and jupyter notebook

Need a clean, powerful, and fully commented machine learning project built in Python?

I will use Jupyter Notebook to create and explain your ML models from start to finish.

I'm a bilingual Python developer and data science educator with experience in:

• Data cleaning and preprocessing
• Exploratory data analysis (EDA)
• Machine Learning model building and tuning (sklearn, XGBoost, etc.)
• Clear markdown explanations and visualizations (Matplotlib, Seaborn, Plotly)
• Export-ready notebooks for class, work, or personal study

Models I can work with include

• Linear/Logistic Regression
• Decision Trees & Random Forests
• KNN, SVM, Naive Bayes
• Clustering (K-Means, DBSCAN)
• Time Series, basic Deep Learning (upon request)

Deliverables:

• Clean, editable .ipynb file
• Well-structured markdown comments & outputs
• PDF export available upon request