Advanced EDA, covering dimensionality reduction (t-SNE, UMAP), interactive plots, and multidimensional visualization for discovering patterns in complex data.
EDA: Advanced Visualization and Pattern Discovery Read More »
Exploratory Data Analysis (EDA) for AI engineers. Learn to analyze data distributions, correlations, and anomalies to build better machine learning models.
Exploratory Data Analysis (EDA): Statistical Analysis Read More »
UMAP and autoencoders using Python, TensorFlow, and umap-learn for data visualization, feature engineering, and generative modeling.
Advanced Dimensionality Reduction: UMAP and Autoencoders Read More »
Dimensionality reduction with PCA and t-SNE. Mathematical foundations, Python implementation, and industry applications for AI engineering and data science.
Dimensionality Reduction: PCA and t-SNE Read More »
Master one-hot, ordinal, and target encoding with Python, scikit-learn, and real-world examples to handle high-cardinality data in machine learning.
Categorical Data Encoding: Onehot, Ordinal & Target Encoding Read More »
Essential data transformation techniques in AI engineering. Learn to implement scaling, normalization, and encoding with Python, scikit-learn.
Data Transformation: Scaling, Normalization, and Encoding Read More »
Enterprise feature stores. Learn the architecture, implementation strategies, and business value of centralizing feature management for ML.
Feature Stores: Centralized Feature Management Read More »
Learn to implement Deep Feature Synthesis with Featuretools, understand genetic programming, and deploy scalable ML pipelines.
Automated Feature Engineering and Discovery Read More »
Learn statistical and model-based methods like RFE and Lasso, and implement them in Python with scikit-learn to improve model performance.
Feature Selection: Statistical and Model-based Methods Read More »
Learn to create polynomial features, interaction terms, and temporal features using Python, scikit-learn, and pandas to improve model performance.
Feature Engineering: Creating New Features from Raw Data Read More »
