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black-friday

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sharmaroshan / Black-Friday

Star 4

This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.

data-science machine-learning data-visualization data-analysis business-solutions regression-models r-programming regression-algorithms regression-analysis sales-prediction first-project-r black-friday
  • Updated Jun 3, 2019
  • R

kush1912 / Phocket---ML-Internship

Star 0

This repository consists of machine Learning models, deep learning models and some NLP tasks such as Topic Modelling, Sequence generation, Sentiment analysis, Recommendation System

nlp natural-language-processing sentiment-analysis random-forest tensorflow n-grams model-selection topic-modeling sequence-to-sequence twitter-sentiment-analysis roc-curve knn nlp-keywords-extraction svm-classifier classification-algorithims pre-processing keywords-extraction decison-trees tfidf-vectorizer black-friday
  • Updated Oct 3, 2019
  • Jupyter Notebook

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