Udacity exploratory analysis in R
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Updated
Oct 2, 2017 - HTML
Udacity exploratory analysis in R
EDA into regression model development followed by ML model error analysis.
Solutions to Kaggle problems.
Técnicas de Data Wrangling com Python.
Georgia Tech's Spring 2020 CSE 6040 Computing for Data Analysis Class with Dr. Richard Vuduc
Pandas is used to report on insightful statistics around video game purchasing.
Comprehensive work containing EDA, data munging, classification models to mention a few on loan dataset
All the tasks submitted during the Advanced Software Engineering Virtual Training Program offered by Walmart Global Tech on Forage platform.
An exploration of Zillow house prices with R
A toolbox that contains methods to solve real-world data science problems
Used data munging techniques to assess the quality of Liverpool OpenStreetMap dataset for validity, accuracy, completeness, consistency and uniformity. (Python, SQL, data verification, data cleaning)
Intent is 1 file/module per 1 video, with fairly consistent naming here vs video site.
Optimizing Sales Forecast Accuracy: Exploratory Analysis and Insights
Udacity's Data Analyst Nanodegree - Projects 1-7
Python for Data Science Essentials
Slides for 2020 Stata Conference talk about the program readit
The objective of this project is to predict whether a user will download an app after clicking a mobile app advertisement using the R language
A set of tools to assist with exploratory data analysis (EDA) in Jupyter Notebook using Pandas
How many stars is a restaurant in LA likely to get? This project explores the relationship between location, reviews and number of ratings for various cuisine types within Los Angeles. Link to site is just below this paragraph.
This Virtua Experience included in-depth tasks on Advanced Data Structure, Software Architecture, Relational Database Design and Data Mungling
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