| Jul 02, 2025 | Foundations of Non-Parametric Models: KNN, Decision Tree & the Road to Ensembles |
| May 11, 2025 | Optimization Techniques in Regression Tasks |
| May 04, 2025 | Advanced Parametric Regression Techniques |
| May 03, 2025 | Capturing Non-Linearity in Regression |
| Apr 06, 2025 | Robust Regression for Noisy Data |
| Feb 22, 2025 | Regression Metrics Explained: MAE, RMSE, R², and Beyond |
| Feb 08, 2025 | Generalized Linear Models: A Unified Framework for Modern Regression |
| Jan 26, 2025 | Beyond OLS — A Deep Dive into Ridge, Lasso, and Elastic Net |
| Jan 12, 2025 | Linear Regression Explained: From Normal Equations to Residual Diagnostics |
| Dec 08, 2024 | Data Preprocessing Part 6: Dimensionality Reduction |
| Nov 23, 2024 | Data Preprocessing Part 5: Handling Imbalanced Data |
| Nov 17, 2024 | Data Preprocessing Part 4: Feature Engineering |
| Aug 24, 2024 | Data Preprocessing Part 3: Data Transformation in Practice |
| Aug 04, 2024 | Data Preprocessing Part 2: Mastering the Mess with Effective Data Cleaning |
| Jul 21, 2024 | Data Preprocessing Part 1: Exploring, Profiling, and Collecting Data the Right Way |
| May 27, 2024 | Your First Step into Data Science: Terminologies, Pipelines, and Beyond |
| May 22, 2024 | Optimization Strategies in Modern Machine Learning (Non-Convexity, Hyperparameters, and Meta-Learning) |
| Jan 04, 2024 | Matrix Calculus for Data Science |
| Nov 12, 2023 | Regularization & Generalization in Optimization |
| Aug 21, 2023 | Adaptive Optimization — Adam, RMSProp, & Beyond |
| Jul 22, 2023 | Convexity, Constraints & Convergence Guarantees |
| Jul 15, 2023 | Taylor Expansions & Second-Order Thinking |
| Jul 01, 2023 | Optimization Foundations |
| Jun 05, 2023 | Multivariable Functions & Gradients |
| Feb 11, 2023 | Applied Probabilistic Modeling |
| Oct 28, 2022 | Linear Regression Models |
| Oct 17, 2022 | Information Theory, Correlation & Statistical Learning Theory |
| Oct 12, 2022 | Expectation-Maximization (EM) for Unsupervised Learning |
| Aug 03, 2022 | Markov Chains, Hidden Markov Models & Probabilistic Sequence Modeling |
| Jul 13, 2022 | Statistical Inference (Sampling, Confidence Intervals & Hypothesis Testing) |
| Jun 10, 2022 | Bayesian Thinking, MLE, MAP & Inference |
| Jun 05, 2022 | Probability Distributions |
| Jun 01, 2022 | Foundations of Probability |
| Feb 07, 2022 | Linear Algebra - Bonus Topics |
| Feb 07, 2022 | Vector Spaces and Transformations |
| Feb 03, 2022 | Eigenvalues, Eigenvectors, and Singular Value Decomposition |
| Jan 20, 2022 | Systems of Linear Equations |
| Jan 15, 2022 | Matrices and Matrix Operations |
| Jan 13, 2022 | Vector Operations, Norms, and Projections |