Course: Supervised learning with scikit-learn, Topic: 📚Chapter: 1- Classification ⭐️

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📚Chapter: 1- Classification ⭐️

Explore implementation of supervised learning algorithm in sklearn

Dive deep into Implementation of Supervise algorithm such as Logistic Regression, SVM, ANN,NB, DT,GBT etc.
- >Table of Content
  Supervised Learning |Video|Note|Code|
  
  A Comprehensive Guide to Classification using Scikit-Learn |Video|Note|Code|Medium|
  
  🌐Introduction |Video|Video1|Note|
  
  🌐Building the Logistic Regression Model|Video|Note|Code1|Code2|
  
  🌐Building the Neural Networks Model|Video|Note|Code1|Code2|
  
  🌐Building the Support Vector Machine (SVM) Model|Note|code1|Code2|
  
  🌐Building KNN with Sklearn |Video|Note|Code1|Code2|
  
  🌐Building Naive Bayes with Sklearn|Video|Note|Code1|Code2|
  
  🌐Building Tree-based models with Sklearn|Video|Note|Code1|Code2|