In "Feature engineering"

Feature scaling in machine learning: Standardization, MinMaxScaling and more...

Feature scaling in machine learning: Standardization, MinMaxScaling and more...

Discover why and how we scale variables in Python for machine learning.

By Sole, on
Master Data Binning in Python using Pandas

Master Data Binning in Python using Pandas

Find out what data binning is, why we do it, and how to implement it...

By Sole, on
Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Data is the lifeblood of any organization. Learn how to transform it to unlock its...

By Sole, on
Mastering data preprocessing: Techniques and best practices

Mastering data preprocessing: Techniques and best practices

Discover how to preprocess your data to make it suitable for machine learning.

By Sole, on
One-hot encoding categorical variables

One-hot encoding categorical variables

Find out how to encode categorical variables using one-hot.

By Sole, on
Data discretization in machine learning

Data discretization in machine learning

Why and how should we discretize data in machine learning.

By Sole, on
Variance stabilizing transformations in machine learning

Variance stabilizing transformations in machine learning

Why do we transform variables with the logarithm or a power function before training a...

By Sole, on
Feature engineering for machine learning: What is it?

Feature engineering for machine learning: What is it?

Discover why and how we select features in machine learning.

By Sole, on

In "Python"

Cost-Sensitive Learning: Beyond the Accuracy in Imbalanced Classification

Cost-Sensitive Learning: Beyond the Accuracy in Imbalanced Classification

Find out what cost-sensitive learning is and how to implement it with Python.

By Sole, on
Mastering Feature Importance in Machine Learning with Python

Mastering Feature Importance in Machine Learning with Python

Find out how to calculate feature importance scores with Python.

By Sole, on
Feature Importance vs. Feature Selection: How are they related?

Feature Importance vs. Feature Selection: How are they related?

Understand the relationship and difference between feature importance and feature selection.

By Sole, on
Overcoming Class Imbalance with SMOTE: How to Tackle Imbalanced Datasets in Machine Learning

Overcoming Class Imbalance with SMOTE: How to Tackle Imbalanced Datasets in Machine Learning

Find out more about SMOTE, how it works, and how to implement it in Python....

By Sole, on
The Role of Undersampling in Tackling Imbalanced Datasets in Machine Learning

The Role of Undersampling in Tackling Imbalanced Datasets in Machine Learning

Undersampling techniques for imbalanced datasets in Python.

By Sole, on
Exploring Oversampling Techniques for Imbalanced Datasets

Exploring Oversampling Techniques for Imbalanced Datasets

Oversampling techniques for imbalanced datasets in Python.

By Sole, on
Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Overview of statistical and machine learning models for time series forecasting.

By Sole, on
Dealing with Imbalanced Datasets in Machine Learning: Techniques and Best Practices

Dealing with Imbalanced Datasets in Machine Learning: Techniques and Best Practices

Methods to improve the performance of models trained on imbalanced datasets.

By Sole, on
Feature scaling in machine learning: Standardization, MinMaxScaling and more...

Feature scaling in machine learning: Standardization, MinMaxScaling and more...

Discover why and how we scale variables in Python for machine learning.

By Sole, on
Master Data Binning in Python using Pandas

Master Data Binning in Python using Pandas

Find out what data binning is, why we do it, and how to implement it...

By Sole, on
Hyperparameter Tuning For Machine Learning: All You Need to Know

Hyperparameter Tuning For Machine Learning: All You Need to Know

Discover what are and how to find the best hyperparameters for your machine learning models....

By Sole, on
Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Data is the lifeblood of any organization. Learn how to transform it to unlock its...

By Sole, on
Mastering data preprocessing: Techniques and best practices

Mastering data preprocessing: Techniques and best practices

Discover how to preprocess your data to make it suitable for machine learning.

By Sole, on
One-hot encoding categorical variables

One-hot encoding categorical variables

Find out how to encode categorical variables using one-hot.

By Sole, on
Feature selection in machine learning with Python

Feature selection in machine learning with Python

Discover multiple algorithms for feature selection and implement them in Python.

By Sole, on
Recursive feature elimination with Python

Recursive feature elimination with Python

Recursive feature elimination is the process of selecting features sequentially, in which features are removed...

By Sole, on
Feature selection with Lasso in Python

Feature selection with Lasso in Python

The Lasso regularization can be used to select features in machine learning since it has...

By Sole, on
Mutual information with Python

Mutual information with Python

Mutual information measures the information we know from one variable by observing the values of...

By Sole, on
Data discretization in machine learning

Data discretization in machine learning

Why and how should we discretize data in machine learning.

By Sole, on
Variance stabilizing transformations in machine learning

Variance stabilizing transformations in machine learning

Why do we transform variables with the logarithm or a power function before training a...

By Sole, on
Population Stability Index and feature selection in Python

Population Stability Index and feature selection in Python

The Population Stability Index quantifies changes in a variable’s distribution over time, and it is...

By Sole, on
Feature Selection in Machine Learning

Feature Selection in Machine Learning

Discover why and how we select features in machine learning.

By Sole, on
Feature engineering for machine learning: What is it?

Feature engineering for machine learning: What is it?

Discover why and how we select features in machine learning.

By Sole, on

In "Machine learning"

Cost-Sensitive Learning: Beyond the Accuracy in Imbalanced Classification

Cost-Sensitive Learning: Beyond the Accuracy in Imbalanced Classification

Find out what cost-sensitive learning is and how to implement it with Python.

By Sole, on
Mastering Feature Importance in Machine Learning with Python

Mastering Feature Importance in Machine Learning with Python

Find out how to calculate feature importance scores with Python.

By Sole, on
Feature Importance vs. Feature Selection: How are they related?

Feature Importance vs. Feature Selection: How are they related?

Understand the relationship and difference between feature importance and feature selection.

By Sole, on
Overcoming Class Imbalance with SMOTE: How to Tackle Imbalanced Datasets in Machine Learning

Overcoming Class Imbalance with SMOTE: How to Tackle Imbalanced Datasets in Machine Learning

Find out more about SMOTE, how it works, and how to implement it in Python....

By Sole, on
The Role of Undersampling in Tackling Imbalanced Datasets in Machine Learning

The Role of Undersampling in Tackling Imbalanced Datasets in Machine Learning

Undersampling techniques for imbalanced datasets in Python.

By Sole, on
Exploring Oversampling Techniques for Imbalanced Datasets

Exploring Oversampling Techniques for Imbalanced Datasets

Oversampling techniques for imbalanced datasets in Python.

By Sole, on
Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Overview of statistical and machine learning models for time series forecasting.

By Sole, on
Dealing with Imbalanced Datasets in Machine Learning: Techniques and Best Practices

Dealing with Imbalanced Datasets in Machine Learning: Techniques and Best Practices

Methods to improve the performance of models trained on imbalanced datasets.

By Sole, on
Feature scaling in machine learning: Standardization, MinMaxScaling and more...

Feature scaling in machine learning: Standardization, MinMaxScaling and more...

Discover why and how we scale variables in Python for machine learning.

By Sole, on
Master Data Binning in Python using Pandas

Master Data Binning in Python using Pandas

Find out what data binning is, why we do it, and how to implement it...

By Sole, on
Hyperparameter Tuning For Machine Learning: All You Need to Know

Hyperparameter Tuning For Machine Learning: All You Need to Know

Discover what are and how to find the best hyperparameters for your machine learning models....

By Sole, on
Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Data is the lifeblood of any organization. Learn how to transform it to unlock its...

By Sole, on
Mastering data preprocessing: Techniques and best practices

Mastering data preprocessing: Techniques and best practices

Discover how to preprocess your data to make it suitable for machine learning.

By Sole, on
One-hot encoding categorical variables

One-hot encoding categorical variables

Find out how to encode categorical variables using one-hot.

By Sole, on
Feature selection in machine learning with Python

Feature selection in machine learning with Python

Discover multiple algorithms for feature selection and implement them in Python.

By Sole, on
Recursive feature elimination with Python

Recursive feature elimination with Python

Recursive feature elimination is the process of selecting features sequentially, in which features are removed...

By Sole, on
Feature selection with Lasso in Python

Feature selection with Lasso in Python

The Lasso regularization can be used to select features in machine learning since it has...

By Sole, on
Mutual information with Python

Mutual information with Python

Mutual information measures the information we know from one variable by observing the values of...

By Sole, on
Data discretization in machine learning

Data discretization in machine learning

Why and how should we discretize data in machine learning.

By Sole, on
Variance stabilizing transformations in machine learning

Variance stabilizing transformations in machine learning

Why do we transform variables with the logarithm or a power function before training a...

By Sole, on
Population Stability Index and feature selection in Python

Population Stability Index and feature selection in Python

The Population Stability Index quantifies changes in a variable’s distribution over time, and it is...

By Sole, on
Feature Selection in Machine Learning

Feature Selection in Machine Learning

Discover why and how we select features in machine learning.

By Sole, on
Feature engineering for machine learning: What is it?

Feature engineering for machine learning: What is it?

Discover why and how we select features in machine learning.

By Sole, on

In "Feature selection"

Mastering Feature Importance in Machine Learning with Python

Mastering Feature Importance in Machine Learning with Python

Find out how to calculate feature importance scores with Python.

By Sole, on
Feature Importance vs. Feature Selection: How are they related?

Feature Importance vs. Feature Selection: How are they related?

Understand the relationship and difference between feature importance and feature selection.

By Sole, on
Feature selection in machine learning with Python

Feature selection in machine learning with Python

Discover multiple algorithms for feature selection and implement them in Python.

By Sole, on
Recursive feature elimination with Python

Recursive feature elimination with Python

Recursive feature elimination is the process of selecting features sequentially, in which features are removed...

By Sole, on
Feature selection with Lasso in Python

Feature selection with Lasso in Python

The Lasso regularization can be used to select features in machine learning since it has...

By Sole, on
Mutual information with Python

Mutual information with Python

Mutual information measures the information we know from one variable by observing the values of...

By Sole, on
Population Stability Index and feature selection in Python

Population Stability Index and feature selection in Python

The Population Stability Index quantifies changes in a variable’s distribution over time, and it is...

By Sole, on
Feature Selection in Machine Learning

Feature Selection in Machine Learning

Discover why and how we select features in machine learning.

By Sole, on

In "Data science for social good"

Data science and machine learning books

Data science and machine learning books

Discover five books that expose the controversial policies and surveillance abuses of companies that use...

By Sole, on

In "categorical encoding"

One-hot encoding categorical variables

One-hot encoding categorical variables

Find out how to encode categorical variables using one-hot.

By Sole, on

In "data preprocessing"

Master Data Binning in Python using Pandas

Master Data Binning in Python using Pandas

Find out what data binning is, why we do it, and how to implement it...

By Sole, on
Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Maximizing the Value of Your Data: A Step-by-Step Guide to Data Transformation

Data is the lifeblood of any organization. Learn how to transform it to unlock its...

By Sole, on
Mastering data preprocessing: Techniques and best practices

Mastering data preprocessing: Techniques and best practices

Discover how to preprocess your data to make it suitable for machine learning.

By Sole, on

In "Hyperparameter optimization"

Hyperparameter Tuning For Machine Learning: All You Need to Know

Hyperparameter Tuning For Machine Learning: All You Need to Know

Discover what are and how to find the best hyperparameters for your machine learning models....

By Sole, on

In "Imbalanced data"

Cost-Sensitive Learning: Beyond the Accuracy in Imbalanced Classification

Cost-Sensitive Learning: Beyond the Accuracy in Imbalanced Classification

Find out what cost-sensitive learning is and how to implement it with Python.

By Sole, on
Overcoming Class Imbalance with SMOTE: How to Tackle Imbalanced Datasets in Machine Learning

Overcoming Class Imbalance with SMOTE: How to Tackle Imbalanced Datasets in Machine Learning

Find out more about SMOTE, how it works, and how to implement it in Python....

By Sole, on
The Role of Undersampling in Tackling Imbalanced Datasets in Machine Learning

The Role of Undersampling in Tackling Imbalanced Datasets in Machine Learning

Undersampling techniques for imbalanced datasets in Python.

By Sole, on
Exploring Oversampling Techniques for Imbalanced Datasets

Exploring Oversampling Techniques for Imbalanced Datasets

Oversampling techniques for imbalanced datasets in Python.

By Sole, on
Dealing with Imbalanced Datasets in Machine Learning: Techniques and Best Practices

Dealing with Imbalanced Datasets in Machine Learning: Techniques and Best Practices

Methods to improve the performance of models trained on imbalanced datasets.

By Sole, on

In "Time series"

Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Overview of statistical and machine learning models for time series forecasting.

By Sole, on

In "forecasting"

Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Unlocking the Power of Time Series Forecasting in Machine Learning and Data Science Applications

Overview of statistical and machine learning models for time series forecasting.

By Sole, on