GitHub - nati-curious/EPAM-University-Data-Science-Program: Linear regression, classification (NLP), clustering, sentiment analysis, and time series projects made with both classical machine learning algorithms and neural networks. · GitHub

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
classification_Sklearn_LogisticRegression_KNN.ipynb		classification_Sklearn_LogisticRegression_KNN.ipynb
classification_TensorFlow_Multilayer_Perceptron.ipynb		classification_TensorFlow_Multilayer_Perceptron.ipynb
clustering_Sklearn_KMeans_DBSCAN_GaussianMixture.ipynb		clustering_Sklearn_KMeans_DBSCAN_GaussianMixture.ipynb
linear_regression_Sklearn.ipynb		linear_regression_Sklearn.ipynb
linear_regression_TensorFlow_Multilayer_Perceptron.ipynb		linear_regression_TensorFlow_Multilayer_Perceptron.ipynb
sentiment_classification_Sklearn_MultinomialNB_LinearSVC_SGDClassifier.ipynb		sentiment_classification_Sklearn_MultinomialNB_LinearSVC_SGDClassifier.ipynb
time_series_statsmodels_ARIMA.ipynb		time_series_statsmodels_ARIMA.ipynb

About

Linear regression, classification (NLP), clustering, sentiment analysis, and time series projects made with both classical machine learning algorithms and neural networks.

Report repository

Releases

Packages

Contributors

Languages