memanuel0109 Goto Github PK

10k_lending_club_loans

Machine learning model built to determine who banks should lend money to

1994_census_data_cs

Here I explored the 1994 U.S. Census Data to gain perspective on how race and education impact the ability to make over $50,000 (equivalent to $88,000 today) annually.

bayesian_optimization

Bayesian optimization documentation

bostonhousingregression

capstone_project_two

cigarettes_timeseries_case_study

Predicting cigarette sales for Cowboy Cigarettes using ARIMA models

computing_distance_case_study

Computing distance using the Euclidean and Manhattan methods

cosine_similarity_news_article_case_study

Using Cosine similarity to compute how similar two articles are to each other

covid_19_case_study

covidapi

Maintaining the most up to date data to derive insight can be challenging. For this project, I will show you how to connect to an API that supplies the most up to date COVID-19 data. Then we will plot the data and display it on our own personally hosted website for the world to see.

customer_segementation_case_study

Used a variety of unsupervised learning methods to cluster customers based on their response to an offer made by a wine company.

diabetes_case_study

Built models using KNN and random forest and tuned their hyperparameters with Grid-SeachCV

diner_coffee_case_study

Uses customer data for a coffee company to justify business decisions using decision trees and ensemble methods

fortune500

Fortune 500 company lists since 1955 in CSV format, mostly parsed using Beautiful Soup

frequetist_inference

Statistics EDA Case Study

guided_capstone_one

Here I have built machine learning model to predict Big Mountain Ski Resort's ticket prices in order to offset the cost of the recently installed ski chair.

heights_weights_case_study

Explore logistic regression model in classification

integrating_apps_case_study

Exploratory data analysis to determine which popular platform sells the best quality apps

lendingclubloans

london_housing_prices

Evaluate the average housing in England's 32 boroughs to determine which ones have experienced the greatest growth over the past 2 decades.

machine-learning-solutions-linear-regression

Are you getting a good deal on that apartment you are ready to buy? In this project, I build a machine learning model to predict housing prices in Chicago. The data used can be found in this link (https://www.kaggle.com/austinreese/usa-housing-listings) containing 388,497 data entries on housing prices across the U.S. I narrow down my model to predict apartment prices in Chicago. So let's see if you are getting a good deal.

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

red_wine_case_study

refractive_surgery

Here I will look at real LASIK and PRK surgery data to determine which methods can be used to improve patient outcomes

relax_case_study

Take-home challenge for Relax Inc.

retina_image_diagnostics

retina_image_recognition

CNN for retina images

rock_climbing_recommendation_system

A user-based collaborative recommendation system for rock climbing routes

scorepipe

snowflake-auto-ml

-- hold