What is XGBoost? Its name stands for eXtreme Gradient Boosting, XGBoost is a decision-tree-based ensemble Machine Learning algorithm that uses a gradient boosting framework. In prediction problems involving unstructured data (images, text, etc.) artificial neural networks tend to outperform all other algorithms or frameworks. However, when it comes to small-to-medium structured/tabular data, decision…

Natural Language Processing (NLP), is a subfield of artificial intelligence (AI). It helps machines process and understand the human language in any given context so that they can automatically perform repetitive tasks such as machine translation, summarization, ticket classification, and more. Take sentiment analysis, for example, which uses natural language…

Hierarchical Clustering groups (Agglomerative or also called as Bottom-Up Approach) or divides (Divisive or also called as Top-Down Approach) the clusters based on the distance metrics. In Agglomerative clustering, each data point acts as a cluster initially, and then it groups the clusters one by one. Divisive is the opposite…

Hello everyone! In this blog post, I want to focus on the importance of cross validation and hyperparameter tuning. I will give a short overview of the topic. Cross validation is a technique used to identify how well our model performed and there is always a need to test the…

Linear regression is generally the first step into anyone’s Data Science journey. When you hear the words Linear and Regression, something like this pops up in your mind: X1, X2, ..Xn are the independent variables or features. W1, W2…Wn are the weights (learned by the model from the data). Y’…