Shubham619/Webscrapping-and-Topic-modeling

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Shubham619/Webscrapping-and-Topic-modeling

Shubham619

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Case-Study-in-HR-analytics-Rmarkdown

Text mining project which determines how employees review both Amazon and Google. We can determine which company has Better work-life balance and a better pay according to online reviews.Used bag of words for analyzing text data and text visualization in a way that's both informative and engaging.Feature extraction and analysis using bag of words, which is a model for simplifying representation used in natural language processing.Lastly there are reproducible and dynamic reports with Rmarkdown.

Ensemble-models-using-Caret

Ensemble technique is used for combining two or more algorithms of similar or dissimilar types.I have performed One hot-encoding before splitting data and then recursive feature selection. Different methods are used for predicting loan approval such as averaging, majority votes and weighted average. I have applied Caret ensemble method which combines several models via stacking. Applied robust classification algorithm such as Gradient boosting machine which the accuracy of our model.

cleandata

To install this package use this- devtools::install_github("Shubham619/cleandata") #Overview -remove_timestamp() :- to remove timestamp from data. -clean_first_col() :- for cleaning name column(must be your first column). -remove_bracs() :- removing brackets from column name and data between brackets. -adding_col_bind() :- creating dataframe with first two NA rows and NA column. -load_workbook_sheetname() :- loading worksheet and sheetname of it.

Stackoverflow-Tag-Predictor

Intent-Classifier_Tensorflow_pipeline

Jupyter Notebook

Microsoft-Malware-Detection

Jupyter Notebook

R-NLP-Package-work-

Quora-Question-Pair-Similarity-Problem