![]() Predictive Modeling & Time Series Forecasting.Collaborative/Content filtering, Propensity analysis, Cold start problem.KMeans, Customer Segmentation, Hierarchical, DBSCAN, Anomaly Detection, Local Outlier Factor, Isolation Forest, Dimensionality Reduction, PCA, t-SNE, GMM, Information Theory, Expectation Maximisation.KNN, Decision Trees, Ensemble learning, Bagging, Boosting, SHAP Values.ROC, Precision-Recall Curve, Confusion matrix, Specificity Logistic Regression, Squashing function, AUC.Linear Regression, Gradient Descent, Multicollinearity, VIF, R-square, Heteroscedasticity, Sklearn, Polynomial Regression, Bias-Variance trade-off, Regularisation.Functions, Limits, Derivatives, Partial derivatives, Saddle points.Line, Plane, HyperPlane, Half space, Classification using plane.Vector and Matrices, Dot product, Projections, System of Equations, Matrix Transformation, Eigen Vectors and Values, Orthonormal Basis Vectors, SVD, PCA.Risk, Product, Banking, Finance, E-Commerce, Social Media, Marketing, Transporation, Healthcare, Operations. ![]()
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