Data Science

Mathematics Topics for Machine Learning Beginners

In this blog, you would get to know the essential mathematical topics you need to cover to become good at…

4 months ago

Understanding FAR, FRR, and EER in Auth Systems

Have you ever wondered how systems determine whether to grant or deny access, and how they balance the risk of…

10 months ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of your model. A confounder feature…

1 year ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit card companies. With credit cards…

1 year ago

Principal Component Analysis (PCA) & Feature Extraction – Examples

Last updated: 17 Sept, 2024 Principal component analysis (PCA)is a dimensionality reduction technique that reduces the number of dimensions or…

1 year ago

Content-based Recommender System: Python Example

In this blog, we will learn about how to implement content-based recommender system using Python programming example. We will learn…

1 year ago

Recommender Systems in Machine Learning: Examples

Last updated: 16th Sep, 2024 Recommender systems are widely used in applications such as personalized content recommendation (e.g., movies, books,…

1 year ago

Difference: Binary vs Multiclass vs Multilabel Classification

Last updated: 13th Sep, 2024 There are three main types of classification algorithms when dealing with machine learning classification problems:…

1 year ago

Sklearn LabelEncoder Example – Single & Multiple Columns

Last updated: 13 Sept, 2024 In this post, you will learn about the concept of encoding such as Label Encoding…

1 year ago

ROC Curve & AUC Explained with Python Examples

Last updated: 8th Sep, 2024 Confusion among data scientists regarding whether to use ROC Curve / AUC, or, Accuracy /…

1 year ago

Accuracy, Precision, Recall & F1-Score – Python Examples

Last updated: 27th Aug, 2024 Classification models are used in classification problems to predict the target class of the data…

1 year ago

Logistic Regression in Machine Learning: Python Example

Last updated: 26th August, 2024 In this blog post, we will discuss the concepts of logistic regression machine learning algorithm…

1 year ago

Reducing Overfitting vs Models Complexity: Machine Learning

Last updated: 25th August, 2024 In machine learning, model complexity and overfitting are related in that the model overfitting is…

1 year ago

Overfitting & Underfitting in Machine Learning

Last updated: 24th August, 2024 The performance of the machine learning models on unseen datasets depends upon two key concepts…

1 year ago

Self-Supervised Learning: Concepts, Examples

Last updated: 20th August, 2024 Self-supervised learning is an approach to training machine learning models primarily for large corpus of…

1 year ago

MSE vs RMSE vs MAE vs MAPE vs R-Squared: When to Use?

Last updated: 18th August, 2024 As data scientists, we navigate a sea of metrics to evaluate the performance of our…

1 year ago