Dr. Elena Vasquez

Posted OpenCV image preprocessing for OCR and vision pipelines

Posted Geospatial analysis with GeoPandas for location intelligence

Posted Regular expressions for extracting structured entities from raw text

Posted Web scraping pipelines with requests and BeautifulSoup

Posted SQL window functions for feature extraction and behavioral ranking

Posted Great Expectations checks for dataset health before retraining

Posted Data validation contracts with Pandera for pipeline reliability

Posted Experiment tracking and model registry workflows with MLflow

Posted Serializing models with joblib, pickle, and ONNX tradeoffs

Posted Serving scikit-learn models behind a FastAPI prediction API

Posted Anomaly detection with isolation forest and robust thresholds

Posted Time series forecasting with statsmodels SARIMAX baselines

Posted A B testing analysis with confidence intervals and guardrails

Posted Hypothesis testing for product experiments in Python

Posted Jupyter notebook setup that stays reproducible and reviewable

Posted Fine tuning transformer models for domain text classification

Posted Using Hugging Face transformers for modern NLP inference

Posted Custom Datasets and DataLoaders for robust training input pipelines

Posted Transfer learning with pretrained torchvision backbones

Posted Convolutional neural networks for image classification in PyTorch

Posted A clean PyTorch training loop with validation and checkpoints

Posted PyTorch tensor basics and automatic differentiation

Posted Word embeddings with gensim for semantic similarity tasks

Posted Text vectorization with TF-IDF for strong classical baselines

Posted Natural language processing with spaCy pipelines and custom rules

Posted PCA and t-SNE for dimensionality reduction and inspection

Posted Confusion matrix diagnostics for threshold selection

Posted Classification metrics beyond accuracy for imbalanced problems

Posted Bayesian optimization with Optuna for efficient model tuning

Posted Hyperparameter tuning with GridSearchCV and randomized search

Posted ColumnTransformer pipelines that keep preprocessing honest

Posted Clustering with KMeans, DBSCAN, and hierarchical approaches

Posted Regression workflows with linear, ridge, lasso, and elastic net

Posted Baseline classifiers in scikit-learn for fast benchmark setting

Posted Train test split and stratified cross validation done properly

Posted Scaling and normalization choices for different model families

Posted Encoding categorical variables without creating leakage

Posted Feature engineering for recency, frequency, and monetary behavior

Posted Exploratory data analysis checklist for tabular ML projects

Posted Interactive Plotly figures for exploratory stakeholder reviews

Posted Statistical visualizations for distribution and drift analysis

Posted Matplotlib and Seaborn defaults that make charts publication ready

Posted Linear algebra patterns for similarity and projection tasks

Posted NumPy broadcasting for vectorized feature engineering

Posted Time series resampling and rolling windows in pandas

Posted Merging datasets safely with join keys and validation

Posted GroupBy aggregations and pivot tables for business reporting

Posted Cleaning missing values and normalizing messy CSV exports

Posted pandas DataFrame essentials: loading, indexing, and selection