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CSE476-Machine-Learning-Lab

TOPICS

  1. Logistic Regression
  2. Support Vector Machine
  3. Decision Tree
  4. Random Forest
  5. K Nearest Neighbour
  6. Confusion Matrix, Accuray, Recall, Precision, F1, FPR, TPR, ROC
  7. Sentiment Analysis (IMDB Dataset)
  8. Linear Regression (House Price Prediction)
  9. K Means Clustering

SETUP

!pip install scikit-learn

!pip install pandas
!pip install numpy
!pip install matplotlib
!pip install seaborn

!pip install nltk

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