Fatima Jannetmahia.hashnode.dev·Nov 6, 2024ML classification model selectionWelcome to the final section of Part Three: Classification. Classification model selection One common question in data science is which classification model to choose for a dataset. This section will show you how to quickly and efficiently select the...1 like·81 readsMachine Learning (Python)classification
Omkar Kastureomkarkasture.hashnode.dev·Oct 6, 2024Decision Tree- Part 2: Decision Tree ClassifierIn the previous part of this series, we explored and implemented regression trees while covering the concept of decision trees. If you directly reached to this blog, I recommend you to first read part-1 of decision tree, as all basics are covered in ...The Ultimate Machine Learning GuideMachine Learning
Akash Mudgalblog.akashmudgal.in·May 25, 2024Introduction to Machine LearningMachine Learning has become a prominent subject in recent years, finding utility across diverse industries. Its applications range from automating routine tasks to analysing vast datasets for valuable insights, aiding in more informed business decisi...29 readsMachine Learning
Swapnil Bhattacharyapredictiveswap.hashnode.dev·Dec 23, 2023Wine Quality Prediction using Random Forest Classifier.Embark on a captivating tutorial as we uncork the world of wine quality prediction using the potent Random Forest Classifier. In this exploration, we'll navigate the intricate landscape of predictive analytics, demonstrating how to leverage this powe...28 readsclassification problems
Peter Ibeabuchipeteribeabuchi.hashnode.dev·Jun 27, 2023Handling Imbalanced Data: Oversampling v/s UndersamplingIntroduction Working with imbalanced data when building a classification ML model can be a challenge, as it affects your models’ ability to make accurate predictions. This is particularly challenging when the focus goes beyond the accuracy score of t...61 readsData Science
Uday Kiran Kavaturuudaykiran.tech·Jun 21, 2023Confusion Matrix - An easy way to remember and useIf you have ever done logistics regression, then you must be aware of the confusion matrix. The name is so apt for this important machine-learning concept. I used to get so confused trying to make sense of the matrix and the formulas. I struggled wit...105 readsArtificial Intelligence
Harshpeb.hashnode.dev·Jun 17, 2023Movie Score Prediction Model - BigQuery Data using SQLTasks Create a Movie Score Prediction Model with BQML custom ML and all of this only using SQL. Prerequisites A browser, such as Chrome or Firefox. A Google Cloud project with billing enabled. Important Links https://www.abirami.dev/code-vipassa...10 likes·55 readsCode Vipassana
Apeksha Hegdeapekshady.hashnode.dev·Dec 6, 2022Analysis of classification models on NASA Active Fire data🚀This article is based on the prediction of the type of forest fire detected by MODIS in India (the year 2021) using Classification algorithms. Check out the code here (don't forget to give it an upvote!) 🚀 MODIS (or Moderate Resolution Imaging Spe...1 like·54 readsMachine Learning
Muhammad Faizanmuhfaizan001.hashnode.dev·Aug 21, 2022How to train the YOLOV5 model on custom dataset in google Colab.Problem In this blog, you will learn how to train the yolov5 model on a custom dataset. YOLOv5 is an algorithm used for object detection. I will apply the YOLOv5 to classify the mask and unmask the person and also localize its face. Steps to solve t...1 like·52 readsobject detection
Arijit Goswamiarijitgoswami.hashnode.dev·Apr 10, 2022Supervised Learning vs Unsupervised Learning - A Complete GuideUnsupervised Machine Learning Categorization 1) Clustering is one of the most common unsupervised learning methods. The method of clustering involves organizing unlabelled data into similar groups called clusters. Thus, a cluster is a collection of s...89 readsMachine Learning