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I aquired a full scholarship from Google Launchpad. Advanced data wrangling skills to work with messy, complex real-world datasets. Highly customized visualizations using the Matplotlib Python library
In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.
Data analysis projects include data cleaning, data wrangling, exploratory data analysis, data visualization, and statistical modeling using various tools and programming languages such as Python, R, SQL, and Excel.
Designed a dashboard to track employee data for the HR team including attendence, working hours and leaves. This dashboard can streamline the HR processes and also can save the HR team 3-4 hours of work daily.
Aquí compartiré y documentaré mi aprendizaje en el análisis predictivo utilizando ML y prácticas de Python. Variando desde simples ejercicios hasta proyectos prácticos. Cada proyecto incluye archivos de soporte y notebooks con código y análisis y las prácticas sus enunciados comentado al inicio.
The objective of this study is to map all the relevant features for the properties along with the information related to the geography around it, to estimate the value of a particular property/house.
The primary objective was to produce a detailed report to objectively understand the behaviour of corporations by using mainly the previous nine editions of Forbes 2000. This involved merging datasets, analyzing discrepancies, and providing insights through data visualization techniques.