capella35 Goto Github PK

-examine-racial-discrimination

-examine-racial-discrimination-using-eda

a-b-test

capstone-2-draft

capstone-2-initial-codes

capstone-milestone-report-1

capstone-project-1-hr-analytics

capstone-project-2

cicids

clustering

cybersecurity

data-science-take-home-challenge

datastory-employee-attrition

datawrangling-capstone1

employee-attrition

Three different ideas for the Capstone Project 1

employee-attrition-final-results

employee-attrition-infrentialstat

exploratory-analysis-examining-racial-discrimination-in-the-us-job-market-

git-github.com-capella35-tv-halftime-shows-and-the-big-game

hospital-readmissions-data-analysis-and-recommendations-for-reduction

html-table-parser-python3

A small and simple HTML table parser not requiring any external dependency.

human-body-temperature-using-eda

image-processing

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

json-based-data-wrangling

By loading data 'data/world_bank_projects.json', new data frames were created under some concerns : 1.Find the 10 countries with most projects 2. Find the top 10 major project themes (using column 'mjtheme_namecode') 3. In 2. above you will notice that some entries have only the code and the name is missing. Create a dataframe with the missing names filled in. Data exploration to examine data , data normalization and filling in missing string values techniques were used to create new data frames.

linear-regresssion-boston-housing

logistic-regression-classification

milestone-report-2

naive_bayes-text-classification

nlp-with-tensorflow-hub