J-Joseph524

Analyzing_US_Economic_Data_-_Building_a_Dashboard

calculus-derivation-gradient-descent-data-science-intro-000

conditionals-python-lab-data-science-intro-000

conditionals-python-readme-data-science-intro-000

Diamond_Predictions

Used Linear Regression to accurately predict the price of diamonds.

Flight_Satisfaction

Utilized various classification models (i.e. Random Forest, Decision Trees) to determine passenger flight ratings based on their experience.

Movie_Industry_Analysis_Project

Analyzing web scraped & API called data from BoxOfficeMojo to determine factors that impact a movies success at the box office.

NYC_AirBnb_Pricing_Predictions

Used Linear Regression to accurately predict the price of an AirBnb in New York City.

Real_or_Fake_News

Used Natural Language Processing to build a model to accurately classify a political article of news as real or fake.

Rec_System_Project

Used collaborative filtering to build a recommendation system model that outputs the top five movie recommendations based on other user ratings.

J-Joseph524/Analyzing_US_Economic_Data_-_Building_a_Dashboard

J-Joseph524/Diamond_Predictions

Used Linear Regression to accurately predict the price of diamonds.

J-Joseph524/Flight_Satisfaction

Utilized various classification models (i.e. Random Forest, Decision Trees) to determine passenger flight ratings based on their experience.

J-Joseph524/Movie_Industry_Analysis_Project

Analyzing web scraped & API called data from BoxOfficeMojo to determine factors that impact a movies success at the box office.

J-Joseph524/NYC_AirBnb_Pricing_Predictions

Used Linear Regression to accurately predict the price of an AirBnb in New York City.

J-Joseph524/Real_or_Fake_News

Used Natural Language Processing to build a model to accurately classify a political article of news as real or fake.

J-Joseph524/Rec_System_Project

Used collaborative filtering to build a recommendation system model that outputs the top five movie recommendations based on other user ratings.

J-Joseph524/Coursera_Capstone

J-Joseph524/dsc-coefficient-of-determination-nyc-ds-033020

J-Joseph524/dsc-conditional-probability-nyc-ds-033020

J-Joseph524/dsc-data-science-processes-nyc-ds-033020

J-Joseph524/dsc-distributions-section-intro-v2-1-nyc-ds-033020

J-Joseph524/dsc-linalg-introduction-nyc-ds-033020

J-Joseph524/dsc-linear-regression-section-intro-v2-1-nyc-ds-033020

J-Joseph524/dsc-lingalg-motivation-nyc-ds-033020

J-Joseph524/dsc-log-transformations-nyc-ds-033020

J-Joseph524/dsc-polynomial-regression-nyc-ds-033020

J-Joseph524/dsc-probability-section-intro-nyc-ds-033020

J-Joseph524/dsc-regression-model-eval-recap-v2-1-nyc-ds-033020

J-Joseph524/dsc-significance-p-value-nyc-ds-033020

J-Joseph524/dsc-simple-linear-regression-lab-nyc-ds-033020

J-Joseph524/dsc-simple-linear-regression-nyc-ds-033020

J-Joseph524/dsc-stat-learning-theory-nyc-ds-033020

J-Joseph524/Finding_Donors

This project intends to use census data of income to accurately filter out who is more willing to make donations.

J-Joseph524/Machine_Learning_Project

J-Joseph524/nyc-mhtn-ds-051120-lectures

J-Joseph524/Python-for-Algorithms--Data-Structures--and-Interviews

Files for Udemy Course on Algorithms and Data Structures

J-Joseph524/Spark_Foundry_CaseStudy

J-Joseph524/The_Battle_Of_Neighborhoods

J-Joseph524/Time_Series_JJ