Shubham619/Microsoft-Malware-Detection

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Created over 5 years ago
Updated over 5 years ago

Shubham619/Microsoft-Malware-Detection

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.

Stackoverflow-Tag-Predictor

Intent-Classifier_Tensorflow_pipeline

Jupyter Notebook

R-NLP-Package-work-

Quora-Question-Pair-Similarity-Problem

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.

Webscrapping-and-Topic-modeling