Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 20 Principal Component Analysis (PCA) is a technique used to simplify complex data. Imagine you have a 3D cloud of data points that is hard to visualize. PCA rotates …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 19 K-means clustering is an unsupervised machine learning method used to group similar data points into clusters. The algorithm starts by choosing a fixed number of clusters, called K. …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 16 A confusion matrix is a table used to evaluate the performance of a classification model by comparing predicted labels with actual labels. It summarizes results into four key …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 13 RNN (Recurrent Neural Network) is used for sequence data like text or daily sales. It processes one step at a time and keeps a hidden state that stores …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 10 Deep learning is a subset of machine learning that uses neural networks with multiple hidden layers to learn complex patterns directly from data. Deep learning models are trained …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 09 Solution XGBoost is a machine learning method used to make accurate predictions. It works by building many small decision trees one after another, where each new tree focuses …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 07 Solution A Random Forest is an ensemble learning algorithm that builds a “forest” of multiple Decision Trees to improve accuracy and prevent overfitting. During training, it uses two …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 04 Solution Support Vector Machine (SVM) is a popular machine learning algorithm used for classification and regression. In simple terms, SVM tries to separate data into different groups using …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 03 Solution Regularization in machine learning means putting limits on a model so it does not become too complicated. It is like guardrails on a road that help keep …