Cross-Validation in Machine learning
Upvote 7+ You always have to validate your machine learning model. In machine learning, you cannot just fit the model on the training data and say it will work for real-world data too. You...
Category: Analytics
Complete Post-Mortem of a Confusion Matrix
Upvote 5+ This matrix is really confusing or just to assist us in removing our confusion. We will deep dive into this article. What is the confusion matrix? Most of us have heard the...
Random Forests in Machine Learning: A Detailed Explanation
Upvote 6+ Random forest is a famous and easy to use machine learning algorithm based on ensemble learning(a process of combining multiple classifiers to form an effective model). In this article, you will learn...
Understanding K-Means Clustering
Upvote 22+ This article will introduce you to Unsupervised Learning and will help you gain a proper conceptual understanding of K-Means Clustering. Have you ever noticed how systemic books in the library are arranged?...
Principal Component Analysis(PCA) in Machine Learning
Upvote 4+ A useful unsupervised learning algorithm for dimensionality reduction. After you are through with this article you will easily be able to get good conceptual clarity of PCA. What is PCA? The principal...
Machine Learning Algorithms: K-Nearest Neighbours Detailed Explanation
Upvote 19+ KNN is one of the basic supervised learning algorithm used for classification. By the end of this article, you will easily start applying KNN on various datasets. I guess most of you...
Understanding Bagging & Boosting in Machine Learning
Upvote 12+ Are you preparing for a data science interview? If you are, then this blog will introduce you to one of the most commonly asked interview questions, with a detailed explanation. You might...
Understanding Decision Trees in Machine Learning
Upvote 5+ The decision tree algorithms make use of different ASMs to divide a node and use the Gini index to formulate the pathway to weigh in the information gain. Introduction Decision tree algorithms...
Predicting US Presidential candidate winner using Machine Learning
Upvote 1+ This article discusses the Exploratory Data Analysis(EDA) and Supervised Learning of US Presidential Elections 2020. As we all know that the battle for the 2020 USA Presidential elections has begun. So this...
Understanding of Multi-Layer Perceptron(MLP)
Upvote 3+ MLP’s are used to make several complex neural network models that are used in several major fields. Introduction The core idea which gave inspiration to neural networks was the concept of biological...
