Shubham S. Deshmukh (@Shubham619)
  • Stars
    star
    13
  • Global Rank 834,067 (Top 29 %)
  • Followers 2
  • Following 1
  • Registered about 9 years ago
  • Most used languages
    R
    44.4 %
    HTML
    33.3 %
  • Location 🇮🇳 India
  • Country Total Rank 34,882
  • Country Ranking
    R
    129

Top repositories

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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.
R
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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.
R
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3

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.
R
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4

Stackoverflow-Tag-Predictor

HTML
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5

Intent-Classifier_Tensorflow_pipeline

Jupyter Notebook
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6

Microsoft-Malware-Detection

Jupyter Notebook
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7

R-NLP-Package-work-

R
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8

Quora-Question-Pair-Similarity-Problem

HTML
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9

Webscrapping-and-Topic-modeling

HTML
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