{"id":19984385,"url":"https://github.com/labex-labs/supervised-learning-classification","last_synced_at":"2025-05-04T06:32:29.276Z","repository":{"id":241066300,"uuid":"804217789","full_name":"labex-labs/supervised-learning-classification","owner":"labex-labs","description":"Supervised Learning: Classification | This repo collects 10 of programming labs exercises for Supervised Learning: Classification. During this course, we will continue to learn another important application in supervised learning - solving classification problems. 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In the following lessons, you will be exposed to: logistic regression, K-nearest neighbor algorithm, naive Bayes, support vector machine, perceptron and artificial neural network, decision tree and random forest, and bagging and boosting methods. The course will start with the principle of each of these methods. You are supposed to fully understand the implementat\n\n![scikit-learn](https://img.shields.io/badge/scikit-learn-whitesmoke?style=for-the-badge\u0026logo=scikit-learn)\n![Machine-Learning](https://img.shields.io/badge/Machine-Learning-whitesmoke?style=for-the-badge\u0026logo=machine-learning)\n\n\n## Environment\n\nLabEx is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience.\n\n![](https://tutorial-screenshot.getvm.io/images/vm-1725247253.png)\n\n- A strict “Learn by Doing” approach with exclusive hands-on labs and no videos.\n- Interactive online environments within the browser, with automated step-by-step checks.\n- A structured content organization with the Skill Tree based learning system.\n- A growing learning resource of 30 Skill Trees and over 6,000 Labs.\n- The AI learning assistant Labby, built on ChatGPT, providing a conversational learning experience.\n\nLearn more about [LabEx VM](https://support.labex.io/using-labex/virtual-machine).\n\n## Exercises\n\n|   Index | Name                                                    | Difficulty   | Practice                                                                                                                      |\n|---------|---------------------------------------------------------|--------------|-------------------------------------------------------------------------------------------------------------------------------|\n|      01 | 📖 Logistic Regression Classification with Scikit-Lea... | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-logistic-regression-classification-with-scikit-learn-20800'\u003eStart Lab\u003c/a\u003e   |\n|      02 | 📖 K Nearest Neighbor Algorithm                          | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-k-nearest-neighbor-algorithm-20796'\u003eStart Lab\u003c/a\u003e                           |\n|      03 | 📖 Probabilistic Classification with Naive Bayes         | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-probabilistic-classification-with-naive-bayes-20801'\u003eStart Lab\u003c/a\u003e          |\n|      04 | 📖 Implementation of Gaussian Distribution Function a... | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/implementation-of-gaussian-distribution-function-and-draw-20786'\u003eStart Lab\u003c/a\u003e |\n|      05 | 📖 Nonlinear Pattern Recognition Techniques              | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-nonlinear-pattern-recognition-techniques-20812'\u003eStart Lab\u003c/a\u003e               |\n|      06 | 📖 Perceptron and Artificial Neural Network              | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-perceptron-and-artificial-neural-network-20802'\u003eStart Lab\u003c/a\u003e               |\n|      07 | 📖 Train Handwritten Digits Recognition Neural Networ... | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-train-handwritten-digits-recognition-neural-network-20814'\u003eStart Lab\u003c/a\u003e    |\n|      08 | 📖 Decision Tree Classification with Python              | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-decision-tree-classification-with-python-20760'\u003eStart Lab\u003c/a\u003e               |\n|      09 | 📖 Bagging and Boosting Method                           | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-bagging-and-boosting-method-20749'\u003eStart Lab\u003c/a\u003e                            |\n|      10 | 📖 Quickly Select Models with Cross Validation           | ★☆☆          | \u003ca target='_blank' href='https://labex.io/labs/ml-quickly-select-models-with-cross-validation-20807'\u003eStart Lab\u003c/a\u003e            |\n\n## More\n\n- 🔗 [Machine Learning Programming Courses](https://github.com/labex-labs/awesome-programming-courses)\n- 🔗 [Machine Learning Programming Projects](https://github.com/labex-labs/awesome-programming-projects)\n- 🔗 [Machine Learning Free Tutorials](https://github.com/labex-labs/ml-free-tutorials)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flabex-labs%2Fsupervised-learning-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flabex-labs%2Fsupervised-learning-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flabex-labs%2Fsupervised-learning-classification/lists"}