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ml-project

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Dive into the world of Machine Learning in this immersive lab course, exploring open-source tools and algorithms such as random forest, SVM, linear regression, PCA, K-means, LDA, KNN, decision tree, and more. Engage in real-world ML projects and deploy your models, gaining practical experience in the forefront of AI technology.

  • Updated May 24, 2024
  • Jupyter Notebook
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Celebrity-Classification

In this end-to-end data science and machine learning project 📊, we classify sports personalities 🏀. After Hyperparameter tuning 🔧, I found that a Support Vector Machine (SVM) is the best for this classification 🏆. The model has 85% accuracy 📈 in classifying images 📸.

  • Updated Mar 3, 2024
  • Jupyter Notebook

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