Shaique Hossainshaique7.hashnode.dev·May 15, 2024Decision Tree in Machine LearningA Decision Tree is a popular machine learning algorithm used for both classification and regression tasks. It builds a tree-like model of decisions based on features in the training data. The tree splits the data into subsets by asking questions abou...Discussdecisiontree
Vanshika Kumarvanshikakumar.hashnode.dev·Apr 8, 2024Overfitting in Decision Tree ModelsIntroduction: Overfitting is a common machine learning problem in which a model learns the training data too well, resulting in noise and outliers. It happens when a model performs extremely well on training data but poorly on validation/test data. T...Discuss·1 likedecisiontree
Bhavya Shingariadvancedideamechanics.hashnode.dev·Feb 21, 2024Decision Tree Classification in PythonClassification is a two-step process; a learning step and a prediction step. In the learning step, the model is developed based on given training data. In the prediction step, the model is used to predict the response to given data. A Decision tree i...Discuss·10 likes·35 readsMachine Learning
Satyabrata Mohantysatya900.hashnode.dev·Jan 29, 2024Unveiling the Wonders of Artificial Intelligence: A Dive into Techniques and AlgorithmsIntroduction: In the fast-paced world of technology, Artificial Intelligence (AI) stands at the forefront, revolutionizing the way we interact with machines and process information. This blog post aims to unravel the mysteries behind AI, shedding lig...DiscussArtificial Intelligence
Sudhin Karkitechgigsudhin20.hashnode.dev·Jan 24, 2024Fundamental Machine Learning AlgorithmsLinear Regression It is a supervised learning algorithm used to predict continuous outcome based on number of input features. It assumes a linear relationship between input features and output variable. It tries to minimize the sum of squared differe...DiscussMachine Learning
K Ahameddatailm.hashnode.dev·Jan 11, 2024K-Means Clustering, Decision Trees, and Naive Bayes - Decoding Patterns in a Sea of DataData mining plays a crucial role in extracting valuable insights and patterns from large datasets. Among the plethora of data mining techniques, K-Means clustering, Decision Trees, and Naive Bayes are widely utilized for their versatility in various ...DiscussData MiningK means Clustering
Sanjay Msanjay1080.hashnode.dev·Nov 23, 2023Machine Learning (Part 12): Navigating Decisions with Decision TreesWelcome back to our exploration of the vast field of Machine Learning! In this chapter, we'll unravel the intricacies of Decision Trees, powerful models that mimic the decision-making process. Decision Trees are versatile tools applicable to both cla...DiscussMachine Learning GuideMachine Learning
Abdulkadir Richard Balasyphonphilter.hashnode.dev·Nov 17, 2023Credit Card Fraud Detection using an Ensemble ML TechniqueToday, the rise of online financial activities has ushered in unprecedented convenience but has also given rise to a looming threat – credit card fraud. As financial transactions grow more intricate, cybercriminals continuously refine their tactics t...Discuss·59 readsMachine Learning
Derek Onwudiwetecheffect.hashnode.dev·Nov 14, 2023Decision Trees and Random Forests.Decision Trees: 1. Structure: - Hierarchical tree-like structures for decision-making. - Nodes represent decisions or test on attributes, and branches represent outcomes. - Leaves contain the final decision or prediction. 2. Training: - Splitting nod...Discussdecision making
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Nov 8, 2023Decision Trees: Titans of simplicity & powerImagine a decision-making process so intricate yet robust that it mimics the depth of human reasoning: this is the realm of Decision Trees in Machine Learning. Imagine a decision-making process so intricate yet robust that it mimics the depth of huma...DiscussMachine Learning