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.
Técnicas de Data Wrangling com Python.
Udacity DAND project: Wrangle OpenStreetMap (OSM) Data
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
Intent is 1 file/module per 1 video, with fairly consistent naming here vs video site.
Optimizing Sales Forecast Accuracy: Exploratory Analysis and Insights
Data munging/wrangling on Brooklyn map data in python
Automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others.
Utilities and helpers for the Pathfinder RPG (1e)
Statistical Analysis of Socioeconomic Data for Business insights
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
Udacity's Data Analyst Nanodegree - Projects 1-7
Cristian Heredia | Data exploration expert, maximizing signal-to-noise through storytelling. Ask me how to use data to inform the business decisions.
Python for Data Science Essentials
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