nivebayes

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272006Sakshi / Machine-Learning-Projects
A collection of essential machine learning algorithms implemented from scratch and with libraries. Ideal for students and beginners to understand core ML concepts through hands-on examples.
decisiontree eda knn labelencoder logisticregression onehotencoder outlierdetection svm gradientdecrent l1l2regularization linrarregression nivebayes kmeansclustering batchgd sochasticgd
Language:Jupyter Notebook 1
jahanOSTG / Movie_Review_Sentiment_NLP1
This project performs sentiment analysis on IMDB movie reviews using Natural Language Processing (NLP). It classifies reviews as positive or negative and compares the performance of multiple machine learning models. Models used include Logistic Regression, Naive Bayes, SVM, and Random Forest.
logistic-regression nivebayes numpy pandas rainforest seaborn-plots svm-model
Language:Jupyter Notebook

272006Sakshi / Machine-Learning-Projects