Becki R (data-becki)

data-becki

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Location:West Coast, US

Twitter:@motorharp

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Becki R's repositories

Read-the-News-Analysis

Using term frequency-inverse document frequency (tf-idf) to analyze an article’s content.

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AB-Testing-at-Nosh-Mish-Mosh

Using numpy to help a food delivery service figure out the amount of data they’ll need to make meaningful decisions.

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Airline-Analysis

Using seaborn to perform exploratory data analysis airline pricing data.

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Biodiversity-In-National-Parks

Using matplotlib and seaborn to interpret data from the National Parks Service about endangered species in different parks.

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Breast-Cancer-Classifier

Using several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer.

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Dr.-Diracs-Statistics-Midterm

Using probabilities to determine if a student answered a question correctly, what is the probability that she really knows the material?

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Final-Codecademy-Project---Libraries-in-Oregon

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.

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Heart-Disease-Research-II

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.

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Hypothesis-Testing-Projects

Three projects in the codecademy data science career path.

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OkCupid-Date-A-Scientist

Codecademy Machine Learning portfolio project using ML to predict whether someone has pets using OkCupid dataset.

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Email-Similarity

Using Naive Bayes on several different datasets. By reporting the accuracy of the classifier, we can find which datasets are harder to distinguish.

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Find-the-Flag

Using decision trees to try to predict the continent of flags based on several features.

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Honey-Production

Using linear regression to investigate the decline and how the trends of the past predict the future for the honeybees.

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Life-Expectancy-and-GDP

Using matplotlib and seaborn to try and identify the relationship between the GDP and life expectancy of six countries.

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Matplotlib-Challenge-Projects

Four codecademy projects using Matplotlib to investigate twitch data, food delivery service data, and roller coaster data.

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Mystery-Friend

Using scikit-learn’s bag-of-words and Naive Bayes classifier to determine who the mystery writer of a postcard is.

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NBA-Trends-Project

Using pearsonr and chi2_contingency from scipy stats to analyze data from the NBA (National Basketball Association) and explore possible associations.

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Netflix-Data-Codecademy-Capstone-Project

Using seaborn to create some of the visualizations for a stock profile of Netflix.

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Predict-Baseball-Strike-Zones-With-Machine-Learning

Using an SVM (Support Vector Machine) trained using a baseball dataset to find the decision boundary of the strike zone.

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Predict-Titanic-Survival

Using Logistic Regression model that predicts which passengers survived the sinking of the Titanic, based on features like age and class.

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Predicting-Income-with-Random-Forests

Using census data with a random forest, we will try to predict whether or not a person makes more than $50,000.

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Sublime-Limes-Line-Graphs-Project

Using matplotlib to gain insight into Sublime Limes' customers and their sales habits.

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Tennis-Ace

Using linear regression to predict the outcome for a tennis player based on their playing habits.

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tidytuesday

My code and plots for #tidytuesday, the weekly data visualization challenge. Sometimes in R, sometimes in Python, and sometimes in Excel.

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Twitter-Classification-Cumulative-Project

Cumulative project for codecademy's classification module, classifying tweets.

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USA-Presidential-Vocabulary

Using gensim to analyze the inaugural addresses of the presidents of the United States of America, as collected by the Natural Language Toolkit, using word embeddings.

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Visualizing-Kiva-Data-with-Seaborn

Using seaborn to explore information about loans awarded by the non-profit Kiva.

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Visualizing-the-Orion-Constellation

A neat little project with a rotating graph.

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Visualizing-World-Cup-Data-With-Seaborn

Visualizing World Cup Data With Seaborn

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Yelp-Rating-Predictor-Cumulative-Project

Using linear regression to predict yelp reviews.

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