Loading and Accessing Data

Manipulating Data Frames with DataFrames.jl

Working with Categorical Data

Understanding Scientific Types

Data Processing and Visualization

Vectors, Matrices and Data Loading in Julia

MLJ for Data Scientists in Two Hours

Linear Regression on Temporal Power Data

Preparing data and model with Iris

Supervised and Unsupervised Workflows in MLJ

Hyperparameter Tuning for Single and Composite Models

Logistic Regression & Friends on Stock Market Data

Exploring Tree-based Models

Building and Tuning a Support Vector Machine

MLJ for Data Scientists in Two Hours

KNN, Logistic Regression and PCA on Wine Dataset

XGBoost on Crabs Dataset

EvoTree Classifier on Horse Colic Dataset

Exploring Generalized Linear Models

Credit Fraud Detection with Classical and Deep Models

Benchmarking Classification Models on Breast Cancer Data

BMI Classification with Decision Trees

Effect of Ratios Oversampling Hyperparameter

From RandomOversampling to ROSE

SMOTE on Customer Churn Data

SMOTEN on Mushroom Data

SMOTENC on Customer Churn Data

Effect of ENN Hyperparameters

SMOTE-Tomek for Ethereum Fraud Detection

Balanced Bagging for Cerebral Stroke Prediction

Preparing data and model with Iris

Building and Tuning Bagging Ensemble Models

Building Random Forests with Bagging Ensembles

Composing Models and Target Transformations

Multivariate Linear Regression & Interactions

Building Polynomial Regression Models and Tuning Them

Ridge & Lasso Regression on Hitters Dataset

Exploring Tree-based Models

Tree-based models on King County Houses Dataset

Tree-based models on Airfoil Dataset

LightGBM on Boston Data

Exploring Generalized Linear Models

Linear Regression on Temporal Power Data

Custom Neural Networks on Boston Data

KNN & Ridge Regression Learning Network on AMES Pricing Data

Build Basic Learning Networks with MLJ

Unsupervised Learning with PCA and Clustering

Unsupervised Learning with PCA and Clustering

KNN, Logistic Regression and PCA on Wine Dataset

Custom Neural Networks on Boston Data

Credit Fraud Detection with Classical and Deep Models

Benchmarking Classification Models on Breast Cancer Data

Credit Fraud Detection with Classical and Deep Models

BMI Classification with Decision Trees

Effect of Ratios Oversampling Hyperparameter

From RandomOversampling to ROSE

SMOTE on Customer Churn Data

SMOTEN on Mushroom Data

SMOTENC on Customer Churn Data

Effect of ENN Hyperparameters

SMOTE-Tomek for Ethereum Fraud Detection

Balanced Bagging for Cerebral Stroke Prediction

EvoTree Classifier on Horse Colic Dataset

Supervised and Unsupervised Workflows in MLJ

Composing Models and Target Transformations

Ridge & Lasso Regression on Hitters Dataset

KNN, Logistic Regression and PCA on Wine Dataset

Tree-based models on Airfoil Dataset

Exploring Generalized Linear Models

Credit Fraud Detection with Classical and Deep Models

Benchmarking Classification Models on Breast Cancer Data

Building Polynomial Regression Models and Tuning Them

MLJ for Data Scientists in Two Hours

Hyperparameter Tuning for Single and Composite Models

Building and Tuning Bagging Ensemble Models

Building Random Forests with Bagging Ensembles

Building Polynomial Regression Models and Tuning Them

Ridge & Lasso Regression on Hitters Dataset

Exploring Tree-based Models

Building and Tuning a Support Vector Machine

XGBoost on Crabs Dataset

EvoTree Classifier on Horse Colic Dataset

Tree-based models on Airfoil Dataset

LightGBM on Boston Data

Custom Neural Networks on Boston Data

KNN & Ridge Regression Learning Network on AMES Pricing Data

Stacking with Learning Networks

Composing Models and Target Transformations

Unsupervised Learning with PCA and Clustering

MLJ for Data Scientists in Two Hours

KNN, Logistic Regression and PCA on Wine Dataset

EvoTree Classifier on Horse Colic Dataset

Exploring Generalized Linear Models

Credit Fraud Detection with Classical and Deep Models

SMOTE-Tomek for Ethereum Fraud Detection

Exploring Tree-based Models

MLJ for Data Scientists in Two Hours

XGBoost on Crabs Dataset

EvoTree Classifier on Horse Colic Dataset

Tree-based models on King County Houses Dataset

LightGBM on Boston Data

Custom Neural Networks on Boston Data

Benchmarking Classification Models on Breast Cancer Data

BMI Classification with Decision Trees

Building and Tuning Bagging Ensemble Models

Building Random Forests with Bagging Ensembles

Stacking with Learning Networks

Logistic Regression & Friends on Stock Market Data

Benchmarking Classification Models on Breast Cancer Data