PinnedHARSHITA GARGinAnalytics VidhyaAnalysis of US presidential election 2020Harshita GargDec 22, 20201Dec 22, 20201
HARSHITA GARGinLevel Up CodingUS Mass Shootings: What does the data tell us? — Python TutorialInvestigate and understand the statistics behind the US gun violence using Seaborn and Geopandas in PythonJul 5, 20221Jul 5, 20221
HARSHITA GARGinLevel Up CodingDumbell Plots, Slope Charts, and Mirror Bar Charts in Python and PlotlyHands on tutorial for creating 3 charts in Python and Plotly — dumbell plots, slope charts, and mirror bar chartsMay 29, 20222May 29, 20222
HARSHITA GARGinLevel Up CodingStacked lines by percentiles: A new way to compare quantitative data across different categoriesLearn how to make a new plot in Python that effectively compares numeric data across multiple categories in a single plot.Mar 12, 20221Mar 12, 20221
HARSHITA GARGinCodeXBring your boring plots to life by animating them (using plotly express)Use plotly express to create interesting animations in PythonJan 22, 2022Jan 22, 2022
HARSHITA GARGinAnalytics VidhyaCalendar Heatmaps : A perfect way to display your time-series quantitative dataA quick and simple guide to create calendar heatmaps using Python libraries and add interactivity using widgetsNov 20, 20211Nov 20, 20211
HARSHITA GARGinCodeXUse Sampling to improve the Performance of Your Credit card Fraud Detection modelA step by step guide in Python to create and evaluate ML models and improve performance using sampling techniquesOct 11, 2021Oct 11, 2021
HARSHITA GARGinCodeXDiamonds.. What determines their price?EDA on diamonds dataset in RSep 5, 2021Sep 5, 2021
HARSHITA GARGinAnalytics VidhyaA Complete Guide to twitter Sentiment Analysis — Part IIA follow-along tutorial to guide you through the in-depth twitter sentiment analysis using PythonAug 8, 20211Aug 8, 20211
HARSHITA GARGinAnalytics VidhyaA Complete Guide to Twitter Sentiment Analysis — Part IA follow-along tutorial to guide you through the in-depth twitter sentiment analysis using PythonAug 8, 20211Aug 8, 20211