Machine Learning Tutorials
Introduction to PyCaret PyCaret is an open-source, low-code machine learning library in Python that simplifies the process of building, training, and deploying machine learning models. It is designed for both beginners and professionals who want to quickly experiment with ML models without writing extensive code. PyCaret automates many machine learning tasks, including data preprocessing, feature […]
Decision Tree Classifier A Decision Tree Classifier is a supervised machine learning algorithm used for classification tasks. It works by splitting the dataset into smaller subsets based on decision rules, ultimately forming a tree structure where each node represents a feature decision, and leaves represent class labels. What is a Classifier? A classifier is an […]
Machine Learning Model using Scikit-learn Scikit-learn is one of the most popular and easy-to-use machine learning libraries in Python. It provides simple and efficient tools for data mining, data analysis, and machine learning. Built on top of NumPy, SciPy, and Matplotlib, Scikit-learn offers a wide range of machine learning algorithms for classification, regression, clustering, etc. […]
MLOps Lifecycle MLOps (stands for Machine Learning Operations) is a set of practices, tools, and principles that combine Machine Learning (ML) and DevOps to streamline and automate the end-to-end lifecycle of machine learning models. It focuses on the development, deployment, monitoring, and governance of machine learning systems in production. MLOps enables teams to work more […]
Python Libraries for Machine Learning Apps Machine learning has become an essential component of modern applications, and Python has emerged as the go-to language for building these apps. However, developing and deploying machine learning models can be a complex and time-consuming process, requiring extensive coding and expertise. Fortunately, several Python libraries have emerged to simplify […]
Clustering Algorithms Clustering is a technique in machine learning used to group similar data points together. Clustering is a process of dividing a dataset into groups or clusters, where each cluster consists of similar data points. It is the task of dividing the data points into a number of groups such that data points in the […]