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Exploratory-Data-Analysis-for-Covid-19
Exploratory-Data-Analysis-for-Covid-19 PublicData Analysis, Manipulation, Visualization in Python using Pandas, Numpy, Matplotlib and Seaborn libraries for Covid-19 first wave from 1st January to 31st July 2020 around the Globe
Jupyter Notebook 1
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Machine-Learning-with-XGBoost-and-RandomForest
Machine-Learning-with-XGBoost-and-RandomForest PublicBuilding Machine Learning Models with hyperparameter tuning by training a dataset containing more than a million rows to accurately predict the taxi trip duration in New york city
Jupyter Notebook 1
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SQL-Queries-and-Tableau-Visualization-for-Covid-Data
SQL-Queries-and-Tableau-Visualization-for-Covid-Data PublicBasic to advanced SQL queries for gathering insights from covid-19 data. Sorting queries to make useful visualizations in Tableau and concluding the effects
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Analysing-Company-Sales-with-Power-BI
Analysing-Company-Sales-with-Power-BI PublicInteractive Dashboarding for visualizing sales/revenue records in different countries over the years via creative charts in Power BI for a fictitious company named 'Adventure Works'
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