data-becki Goto Github PK
Name: Becki R
Type: User
Bio: Former Mechanical Engineer and library nerd. Certificate in Data Science from codecademy.
Location: West Coast, US
Name: Becki R
Type: User
Bio: Former Mechanical Engineer and library nerd. Certificate in Data Science from codecademy.
Location: West Coast, US
Using numpy to help a food delivery service figure out the amount of data they’ll need to make meaningful decisions.
Using seaborn to perform exploratory data analysis airline pricing data.
Using matplotlib and seaborn to interpret data from the National Parks Service about endangered species in different parks.
R for Data Science Book Club
Using several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer.
Codecademy project using Beautiful Soup to scrape a website and gain insights into the best chocolate bars.
Working with US Census Data for the Data Wrangling and Tidying portion of the codecademy Data Science path.
The final exercise in the Python classes module on codecademy that I didn't quite understand.
Using probabilities to determine if a student answered a question correctly, what is the probability that she really knows the material?
Working with medical data for the Data Wrangling and Tidying portion of the codecademy Data Science path.
Using Naive Bayes on several different datasets. By reporting the accuracy of the classifier, we can find which datasets are harder to distinguish.
This is the final project in the codecademy Data Science Career Path, using Python, EDA, Data Visualization, Data Cleaning and Prepping, Linear Regression Machine Learning.
Using decision trees to try to predict the continent of flags based on several features.
Using binom_test, ttest_1samp, ttest_ind, f_oneway, pairwise_tukeyhsd, chi2_contingency to investigate some data from a sample of patients who were evaluated for heart disease.
Using scipy.stats to investigate some data from a sample of patients who were evaluated for heart disease.
Using linear regression to investigate the decline and how the trends of the past predict the future for the honeybees.
Three projects in the codecademy data science career path.
Using matplotlib and seaborn to try and identify the relationship between the GDP and life expectancy of six countries.
Four codecademy projects using Matplotlib to investigate twitch data, food delivery service data, and roller coaster data.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Using scikit-learn’s bag-of-words and Naive Bayes classifier to determine who the mystery writer of a postcard is.
Using pearsonr and chi2_contingency from scipy stats to analyze data from the NBA (National Basketball Association) and explore possible associations.
Using seaborn to create some of the visualizations for a stock profile of Netflix.
Codecademy Machine Learning portfolio project using ML to predict whether someone has pets using OkCupid dataset.
Using Pandas to analyze results of posting two different versions of an advertisement.
Using Pandas to describe how many people continue to the next step purchasing through a website.
Using Pandas to analyze the inventory of a gardening store.
Using an SVM (Support Vector Machine) trained using a baseball dataset to find the decision boundary of the strike zone.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.