Author(s): Shahidullah Kawsar Originally published on Towards AI. Data Scientist & Machine Learning Interview Preparation How to train a ML model using KNN in 5 steps: Source: This image is generated by ChatGPTThe article provides a comprehensive overview of K-Nearest Neighbors (KNN), …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 25 Data preparation is the foundation of every successful machine learning project. Before algorithms can learn, raw data must be collected, cleaned, understood, and transformed into a form that …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Data Scientist & Machine Learning Interview Preparation Different types of anomaly detection techniques: Source: Image is generated by ChatGPTThis article discusses various anomaly detection techniques relevant for data scientists and machine learning practitioners, outlining …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Data Scientist & Machine Learning Interview Preparation Data preparation is the foundation of every successful machine learning project. Before algorithms can learn, raw data must be collected, cleaned, understood, and transformed into a form …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 33 Machine Learning (ML) model development is the systematic process of transforming raw data into predictive and decision-making systems that deliver measurable business value. It encompasses problem framing, data …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 28 Time-series forecasting is the process of predicting future values based on historical data collected over time at regular intervals. It focuses on identifying patterns such as trends (long-term …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 27 Anomaly detection is the practice of identifying patterns in data that deviate from expected behavior. In an era where systems generate massive volumes of real-time data, detecting anomalies …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 26 Anomaly detection is the practice of identifying patterns in data that deviate from expected behavior. In an era where systems generate massive volumes of real-time data, detecting anomalies …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 23 Key Performance Indicators (KPIs) such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) provide quantitative ways to measure how closely model …

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 22 Key Performance Indicators (KPIs) such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) provide quantitative ways to measure how closely model …

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 …