Files for Porter, Verdery and Gaddis - Big Data's Little Brother - ASA Methodology Section 2016
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Updated
Aug 6, 2020 - HTML
Files for Porter, Verdery and Gaddis - Big Data's Little Brother - ASA Methodology Section 2016
Processing large data files using different R data.table package and Command Line tools.
Pandas Tips and Tricks - Based on my experience
Gene Info Extractor: A Python script to extract gene information and annotations from CSV data
📦 Service to export companies list
Using VisPy to read 3D object vertices and calculate average of selected coordinates.
Data analysis with R
Python Data Visualitation and Time Series for Sales Project Notebook
The codes for downloading data from https://www.hycom.org/
Machine Learning Journey: A personal repository documenting my self-study in machine learning, offering insights, experiments, and curated resources.
This dataset compiles the number of occurrences of male and female baby names during specific time periods. It then calculates the probability of a name based on the total count. The data comes directly from government authorities, ensuring its credibility.
‘R for Geoscience’ is a project focused on the field of Earth Science, aiming to utilize the R programming language for processing, analyzing, and visualizing Earth science data.
Estudo de caso feito durante a conclusão da formação Google Data Analytics
Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
Train a Linear Regression model with Bengaluru's house price dataset and deploy the model as a FastAPI with a Streamlit frontend
Data preparation and modelling projects with Python
Node.js backend that exemplifies the benefits of on-demand data processing using generators over functions.
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