Machine Learning Lab
- Lab1: Logistic Regression
- Lab2: Support Vector Machine (SVM)
- Lab3: Decision Tree and Random Forest
- Lab4: K-Nearest Neighbour (KNN)
- Lab5: Evaluation Metrics
- Lab6: Sentiment Analysis
- Lab7: Linear Regression
- Lab8: KMeans
- https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
- https://towardsdatascience.com/logistic-regression-using-python-sklearn-numpy-mnist-handwriting-recognition-matplotlib-a6b31e2b166a
- https://www.datacamp.com/tutorial/understanding-logistic-regression-python
- https://www.tutorialspoint.com/scikit_learn/scikit_learn_decision_trees.htm
- https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
- Dataset: https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction
- Tutorial: https://www.kaggle.com/code/pythonafroz/evaluation-metrics-used-in-machine-learning
- Dataset: IMDB Dataset of 50K Movie Reviews
- Tutorial: https://www.kaggle.com/code/lakshmi25npathi/sentiment-analysis-of-imdb-movie-reviews