Mike Erb's repositories
ds-xgboost-lab-onl01-dtsc-pt-012120
XGBoost Lab
dsc-gradient-boosting-lab-onl01-dtsc-pt-012120
Gradient Boosting - Lab
dsc-gridsearchcv-lab-onl01-dtsc-pt-012120
GridSearchCV - Lab
dsc-tree-ensembles-random-forests-lab-onl01-dtsc-pt-012120
Tree Ensembles and Random Forests - Lab
dsc-tuning-regression-trees-lab-onl01-dtsc-pt-012120
Regression Trees and Model Optimization - Lab
dsc-regression-cart-trees-lab-onl01-dtsc-pt-012120
Regression with CART Trees - Lab
dsc-tuning-decision-trees-lab-onl01-dtsc-pt-012120
Hyperparameter Tuning and Pruning in Decision Trees - Lab
dsc-decision-trees-lab-onl01-dtsc-pt-012120
Building Trees using scikit-learn - Lab
dsc-ID3-trees-lab-onl01-dtsc-pt-012120
ID3 Classification Trees: Perfect Split with Information Gain - Lab
dsc-linalg-python-vs-numpy-lab-onl01-dtsc-pt-012120
Pure Python vs. Numpy - Lab
dsc-linalg-dot-product-properties-lab-onl01-dtsc-pt-012120
Properties of Dot Product - Lab
dsc-linalg-vector-matrices-numpy-lab-onl01-dtsc-pt-012120
Vectors and Matrices in Numpy - Lab
dsc-linalg-vector-addition-codealong-onl01-dtsc-pt-012120
Vector Addition and Broadcasting in Numpy - Code Along
dsc-document-classification-with-naive-bayes-lab-onl01-dtsc-pt-012120
Document Classification with Naive Bayes - Lab
dsc-document-classification-with-naive-bayes-onl01-dtsc-pt-012120
Document Classification with Naive Bayes
dsc-gaussian-naive-bayes-lab-onl01-dtsc-pt-012120
Gaussian Naive Bayes - Lab
dsc-knn-with-scikit-learn-lab-onl01-dtsc-pt-012120
KNN with scikit-learn - Lab
dsc-k-nearest-neighbors-lab-onl01-dtsc-pt-012120
K-Nearest Neighbors - Lab
dsc-distance-metrics-lab-onl01-dtsc-pt-012120
Distance Metrics - Lab
dsc-coding-logistic-regression-from-scratch-onl01-dtsc-pt-012120
Coding Logistic Regression From Scratch - Lab
dsc-logistic-regression-model-comparisons-lab-onl01-dtsc-pt-012120
Logistic Regression Model Comparisons - Lab
dsc-gradient-descent-lab-onl01-dtsc-pt-012120
Gradient Descent - Lab
dsc-class-imbalance-problems-lab-onl01-dtsc-pt-012120
Class Imbalance Problems - Lab
dsc-roc-curves-and-auc-lab-onl01-dtsc-pt-012120
ROC Curves and AUC - Lab
dsc-evaluating-logistic-regression-models-lab-onl01-dtsc-pt-012120
Evaluating Logistic Regression Models - Lab
dsc-visualizing-confusion-matrices-lab-onl01-dtsc-pt-012120
Visualizing Confusion Matrices - Lab
dsc-logistic-regression-in-scikit-learn-lab-onl01-dtsc-pt-012120
Logistic Regression in scikit-learn - Lab
dsc-fitting-a-logistic-regression-model-lab-onl01-dtsc-pt-012120
Fitting a Logistic Regression Model - Lab
dsc-linear-to-logistic-regression-onl01-dtsc-pt-012120
Linear to Logistic regression
dsc-rules-for-derivatives-lab-onl01-dtsc-pt-012120
Rules for Derivatives - Lab