Sujit Nirmal blackshadow.hashnode.dev·5 hours agoMastering XGBoost: A Comprehensive Guide to Hyperparameter TuningIntroduction Welcome back, fellow data enthusiasts! In our last blog, we explored the intricacies of hyperparameter tuning in Gradient Boosting Machines (GBM). Today, we are going to take a step further and dive into XGBoost (Extreme Gradient Boostin...Discuss#xgboosting
Devyani Chavandevyanichavan.hashnode.dev·14 hours agoLogistic Regression(Sigmoid Function)In the previous article, we discussed the perceptron trick. However, when we compared the result with the logistic regression model of sklearn we saw that sklearn model performs better. Infact, you can clearly see how much the line differs in case of...DiscussData Science
Arbash Hussaincckeh.hashnode.dev·Jul 15, 2024A Step-by-Step Guide to Random Forest in Machine LearningIntroduction Welcome to the sixth blog post in our machine learning series! Today, we will explore Random Forest, a powerful and versatile algorithm used for both classification and regression tasks. As always, we will also implement this algorithm f...DiscussMachine Learningcodedfromscratch
Arbash Hussaincckeh.hashnode.dev·Jul 6, 2024A Step-by-Step Guide to SVM in Machine LearningIntroduction Welcome to the 5th blog post in our machine learning series! Today, we will explore Support Vector Machines (SVM), a powerful and versatile algorithm used for both classification and regression tasks. As usual, we will also implement thi...Discuss·51 readsMachine Learningsupport vector machines
sanjana shahtechnologytraining.hashnode.dev·Jun 26, 2024Demystifying the Black Box: Unveiling the Secrets of Deep LearningDeep learning, a subfield of artificial intelligence (AI), has revolutionized numerous fields, from image recognition to natural language processing. But for many, deep learning models remain enigmatic – complex algorithms shrouded in mystery. This b...Discussartificialintelligencecourse
Arbash Hussaincckeh.hashnode.dev·Jun 19, 2024FeaturedA Step-by-Step Guide to K-Nearest Neighbors (KNN) in Machine LearningIntroduction Welcome back, everyone, to the 3rd blog post in our Machine Learning Algorithms Series! Today, we'll dive into K-Nearest Neighbors (KNN), a fundamental algorithm in machine learning. We'll be implementing the KNN algorithm from scratch i...Tushar Srivastava and 1 other are discussing this2 people are discussing thisDiscuss·19 likes·86 readsMachine LearningMachine Learning
Narola AI Studionarolaistudio.hashnode.dev·Jun 20, 2024Tips for Model Training to Maximize Machine Learning PotentialModel training is a key procedure in machine learning that converts unprocessed data into useful insights. This article explores the fundamentals of model training and provides tips on how to improve your models' accuracy. In machine learning, feedin...DiscussModelTraining
Vishal Pandeytmleyncodes.hashnode.dev·Jun 13, 2024Exploring numpy.c: A Lightweight C Implementation for Efficient Array Operations and Numerical ComputationsIntroduction In the realm of programming languages, Python's NumPy library stands as a cornerstone for scientific computing, renowned for its powerful array manipulation capabilities. However, when it comes to environments demanding efficiency and mi...Discuss·1 likeMachine Learning
Devyani Chavandevyanichavan.hashnode.dev·Jun 9, 2024Logistic Regression / Perceptron TrickWe have studied different types of linear regression algorithms, now we will understand logistic regression. It is one of the most important Machine Learning algorithms especially if you are going to study Deep Learning further. This is because it is...Discuss·11 likes·109 readsMachine Learning
Bitingo Josaphatbitingo-the-deep-neural-nets.hashnode.dev·Jun 8, 2024Beat Overfitting: Essential Regularization Techniques for Machine LearningIn machine learning, overfitting is a common problem where models perform well on training data but fail to generalize to unseen data. This article explores essential regularization techniques that help combat overfitting and improve model performanc...Aruna Christian and 2 others are discussing this3 people are discussing thisDiscuss·12 likes·128 readsregularization
