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GitHub topics: data-type-conversion

MoinDalvs/Learn_EDA_for_Data_Science

Univariate, Bivariate and Multi-variate Analysis

Language: Jupyter Notebook - Size: 443 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

vaitybharati/P23.-EDA-1

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

Language: Jupyter Notebook - Size: 215 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

JoyUmoekpo/function-drills-lab-exercise

In this lab you will practice functions. Functions that simply do something, functions that return values. Difficulties will range from beginner to advanced.

Language: JavaScript - Size: 97.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Related Keywords
data-type-conversion 3 correlation-analysis 2 pandas-profiling 2 exploratory-data-analysis 2 outlier-detection 2 data 1 eda 1 min-max-scaler 1 missing-value-imputation 1 numerical-data 1 python 1 scatter-plot 1 standard-scaler 1 sweetviz 1 transformations 1 arrow-functions 1 functions 1 return-values 1 scope 1 string-methods 1 categorical-data 1 auto-eda 1 univariate-analysis 1 standardization 1 normalization 1 multi-variate-analysis 1 missing-values 1 imputation 1 duplicates-removal 1 data-visualization 1 data-types-and-structures 1 data-transformation 1 data-science 1 bivariate-analysis 1