Gavin Martin's repositories
_24_0087__Pro_Portfolio_Project_Portfolio_Website_D83_v00_r07
My program creates a professional portfolio site with visual adjustments and updated text.
_24_0087__Pro_Portfolio_Project_Portfolio_Website_D83_v00_r06
My program creates a personal portfolio webpage showcasing projects and contact details, using structured HTML and styled with responsive CSS.
24_0086__Day82_Pro_Portfolio_Project_Morse_Code_Converter__D82_v00_r04
My completed program keeps the morse code on the same line, removes unwanted chars, and accounts for special chars by the user, plus numbers
24_0086__Day82_Pro_Portfolio_Project_Morse_Code_Converter__D82_v00_r03
Gets the morse code to be on the same line, even though there are extra unwanted characters
24_0086__Day82_Pro_Portfolio_Project_Morse_Code_Converter__D82_v00_r02
Gets the morse code to function properly, even though the words are on different return lines.
24_0086__Day82_Pro_Portfolio_Project_Morse_Code_Converter__D82_v00_r01
My program converts text to morse code, using dots and dashes
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r33
My program compares original and log-transformed house price regression models, analyzing residuals and predictions.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r27
My program visualizes, log-transforms house prices, and analyzes skewness before and after transformation.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r23
My program predicts house prices using linear regression, visualizes actual vs. predicted values, and analyzes residuals.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r21
My program predicts house prices using linear regression and analyzes feature coefficients.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r08
My program creates a joint plot analyzing the relationship between distance to employment (DIS) and pollution levels (NOX) in the Boston housing dataset, adding a title and saving the plot as a PNG file.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r07
My program visualizes relationships between key features of the Boston housing dataset using a pairplot, focusing on NOX, DIS, RM, PRICE, and LSTAT, and saves the plot as a PNG file.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r06
My program analyzes the proximity of homes to the river in the Boston housing dataset, generates a bar chart showing the count of homes near vs. away from the river, and saves the plot as an HTML file.
_24_0085__Predicting_House_Prices_Capstone_Proj_D81_v00_r02
My program loads a Boston housing dataset, analyzes its structure, identifies missing values, checks for duplicates, and computes key statistics such as average student-teacher ratio and home prices.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r31
My program generates a KDE plot to compare the distribution of death percentages before and after handwashing implementation.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r27
My program visualizes the distribution of monthly death percentages before and after handwashing with overlapping histograms.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r25
My program analyzes death rates before and after handwashing introduction, using box plots to compare the percentages.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r21
My program analyzes and visualizes the impact of handwashing on monthly death rates, with a 6-month rolling average.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r09
My program loads a CSV of monthly deaths, extracts the month, calculates average deaths per month, and the overall monthly death average.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r08
My program loads a CSV of monthly deaths, extracts the month, calculates overall and monthly mean births, and averages monthly means.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r05
My program loads a CSV file of monthly deaths, converts the date column, and extracts the year range for analysis.
_24_0084__Handwashing_tTests_and_Distributions__D80_v00_r04
My program loads a CSV file of annual deaths by clinic, prints its shape, column names, and extracts the year range.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r52
My program analyzes and visualizes the trend of Nobel Laureates' age at the time of award by category using Seaborn regression plots.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r35
My program visualizes the cumulative number of Nobel Prizes awarded by country over time using a Plotly line chart.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r31
My program analyzes Nobel Prize data, groups by country, counts total prizes, and visualizes the top 20 countries with a customized bar chart.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r28
My program loads a Nobel Prize dataset, groups by country and year, counts prizes, and displays the top 20 entries
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r20
My program visualizes the yearly Nobel Prizes awarded, with a 5-year rolling average, using a scatter plot and line graph.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r16
My program analyzes Nobel Prizes by category and gender, visualizing the data with a stacked bar chart.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r13
My program visualizes Nobel Prize distribution by category using a bar chart with the Aggrnyl color scale.
_24_0083__Analyzing_Nobel_Prize_w_Plotly_Matplotlib_Seaborn_D79_v00_r07
My program analyzes Nobel Prize data by gender and visualizes the distribution with a donut chart