Dre1896

Anagram

An anagram is a phrase, name or word that is formed by rearranging the letters of another word. This is the code behind writing a classic anagram.

Black-Friday

This is a small notebook that explores some basic analysis of a Black Friday data set I found on Kaggle.

Boston-Social-Vulnerability-Analysis

This work refers to the public data set on the data.boston.gov website entitled "Climate Ready Boston Social Vulnerability".

Cybersecurity-Salary-Analysis

Data-Visualizations

A notebook where I explore simple methods to visualize data, in 2D and 3D.

Dictionaries

A small notebook exploring some of the functions used when manipulating data in dictionaries.

Fibonacci-Numbers

This is an example of the classic data structures recursion problem, Fibonacci numbers.

Grad-Admissions

Here is a notebook using some data I retrieved from Kaggle, that analyzes the likelihood of gaining admission to graduate programs, given the explanatory variables.

Inferential-Statistics

This notebook does a small survey of the different types of statistics vocabulary I've learned via schooling and personal readings.

Versatility-Analysis

The object of this project was to implement webscraping, dataframe merging, Machine Learning techniques (Linear Regression, Ridge Regression), show the patterns in the data using Data Visualization libraries (Seaborn, matplotlib), and to generally identify some of the more versatile players in the NBA as it corresponds to multiple variables.

Dre1896/Anagram

An anagram is a phrase, name or word that is formed by rearranging the letters of another word. This is the code behind writing a classic anagram.

Dre1896/Black-Friday

This is a small notebook that explores some basic analysis of a Black Friday data set I found on Kaggle.

Dre1896/Boston-Social-Vulnerability-Analysis

This work refers to the public data set on the data.boston.gov website entitled "Climate Ready Boston Social Vulnerability".

Dre1896/Cybersecurity-Salary-Analysis

Dre1896/Data-Visualizations

A notebook where I explore simple methods to visualize data, in 2D and 3D.

Dre1896/Dictionaries

A small notebook exploring some of the functions used when manipulating data in dictionaries.

Dre1896/Fibonacci-Numbers

This is an example of the classic data structures recursion problem, Fibonacci numbers.

Dre1896/Grad-Admissions

Here is a notebook using some data I retrieved from Kaggle, that analyzes the likelihood of gaining admission to graduate programs, given the explanatory variables.

Dre1896/Inferential-Statistics

This notebook does a small survey of the different types of statistics vocabulary I've learned via schooling and personal readings.

Dre1896/Versatility-Analysis

The object of this project was to implement webscraping, dataframe merging, Machine Learning techniques (Linear Regression, Ridge Regression), show the patterns in the data using Data Visualization libraries (Seaborn, matplotlib), and to generally identify some of the more versatile players in the NBA as it corresponds to multiple variables.

Dre1896/Linked-Lists

This is a quick overview of a doubly linked list and the solution to a common problem.

Dre1896/Merging-Data

This is a simple notebook where I'm merging data in Pandas.

Dre1896/NCAA-Project

This is a notebook where I explored a few popular libraries in Jupyter Notebooks to evaluate NCAA men's basketball data. From this data, I made visualizations, merged data frames, and ran machine learning algorithms (Principal Component Analysis, Dimensionality Reduction) to evaluate which features are best at predicting how a player gets drafted into the NBA, based on their NCAA basketball statistics.

Dre1896/Poison-Mushrooms

This notebook is a survey of using the Random Forest (Supervised learning) technique on a mushroom data set provided by Kaggle.

Dre1896/Population-Modelling-Time-Series-

Dre1896/Recursion

This is a notebook that explores recursion through sample problems from personal experience and other related resources.

Dre1896/Reducing-a-binary-search-tree

In this repository I solve the basic data structure problem of reducing a binary search tree using recursion and the BSD property.

Dre1896/RIT-DSCI-633-FDS

DSCI-633: Foundations of Data Science & Analytics