Whats Included:
Clean and preprocess complex datasets
Apply both supervised and unsupervised learning algorithms (any 23 of the following):
- Supervised: Linear/Logistic Regression, SVM, Decision Tree, Random Forest, KNN, Naive Bayes
- Unsupervised: K-Means Clustering, Hierarchical Clustering, DBSCAN, PCA
- Hyperparameter tuning (GridSearchCV or manual)
- Feature selection or dimensionality reduction
- Full model evaluation with accuracy, confusion matrix, silhouette score, etc.
- Data visualizations with matplotlib, seaborn, and plotly
- A professional report (PDF or DOCX) explaining steps, results, and model performance
- Fully-commented code delivered via Jupyter Notebook or Python script
- Post-delivery support (bug fixing, minor tweaks)
Client Requirements:
Before placing the order, please provide:
- Your dataset (CSV/Excel)
- Objective (what do you want the model to predict or find?)
- Preferred algorithm (optional)
- Any specific format/output required