The power of Python trumps Excel workbooks.
This project uses public data about the stock trades made by members of the US House of Representatives. This data is collected and maintained by Timothy Carambat as part of the House Stock Watcher ...
This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
Foundation of Data Science: EDA uncovers structure, errors, and patterns in datasets, ensuring reliable insights before modeling. Versatile Techniques: From univariate checks to multivariate analysis, ...
Abortion is a critical health issue that leads to numerous complications, maternal deaths, and significant financial burdens on women, families, and healthcare systems. Studies have identified factors ...
Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...
Welcome to the new edition of my newsletter, Data Science Demystified! Last week, we wrapped up the data cleaning and this week we will explore Exploratory Data Analysis (EDA) which is probably the ...
Renewable energy has increasingly gained importance to reduce pollution, CO 2 emissions, mitigate climate change, and promote sustainable development 1. Generating renewable energy from wind is among ...
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months 1. Matplotlib - https://www.youtube.com ...
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