GitHub / Honey28Git / Machine-Learning
The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.
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Language: Jupyter Notebook
Size: 1.9 MB
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Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: accuracy-metrics, auc-score, bagging, boosting, confusion-matrix, eda, knn, linear-discriminant-analysis, logistic-regression, model-tuning, naive-bayes-classifier, nltk-python, roc-curve, text-analysis