henyerm Goto Github PK

analyzing-nyc-high-school-data

In this project we explored relationships between SAT scores and demographic factors in New York City public schools. For a brief bit of background, the SAT, or Scholastic Aptitude Test, is a test that high school seniors in the U.S. take every year. The SAT has three sections, each is worth 800 points. Colleges use the SAT to determine which students to admit. High average SAT scores are usually indicative of a good school.

building-a-handwritten-digits-classifier

In this project we will bill build models that can classify handwritten digits.

building-a-spam-filter-with-naive-bayes

In this project, we're going to build a spam filter for SMS messages using the multinomial Naive Bayes algorithm. Our goal is to write a program that classifies new messages with an accuracy greater than 80% — so we expect that more than 80% of the new messages will be classified correctly as spam or ham (non-spam). Please watch the follow youtube video for more info about the Naive Bayes Theorem. https://www.youtube.com/watch?v=O2L2Uv9pdDA

california-housing-price-prediction

Predicting price housing using a small data set. A project to understand the whole ML workflow.

clean-and-analyze-employee-exit-surveys

In this project, we'll clean and analyze exit surveys from employees of the Department of Education, Training and Employment (DETE)}) and the Technical and Further Education (TAFE) body of the Queensland government in Australia. We'll pretend our stakeholders want us to combine the results for both surveys to answer the following question: Are employees who only worked for the institutes for a short period of time resigning due to some kind of dissatisfaction? What about employees who have been there longer?

covid-project-sql

For this project, the data was extracted from information related to COVID19 cases updated by Friday the 13th, 2021. Info was downloaded on the website: https://ourworldindata.org/covid-deaths The data was split into two tables focused on info regarding deaths and vaccination data

creating-a-kaggle-workflow

In this project we're going to explore a workflow to easily compete in the Kaggle Titanic competition, using a pipeline of functions to reduce the number of dimensions you need to focus on.

ex-blk

finding-the-two-best-markets-to-advertise-in-an-e-learning-product

In this project, we'll aim to find the two best markets to advertise our product in — we're working for an e-learning company that offers courses on programming. Most of our courses are on web and mobile development, but we also cover many other domains, like data science, game development, etc.

gp---answering-business-questions-using-sql

In this project we test some SQL joining skills using subqueries, multiple joins, set operations, aggregate functions and more.

guided-project_-finding-heavy-traffic-indicators-on-i-94

In this project, we're going to analyze a dataset about the westbound traffic on the I-94 Interstate highway. The goal of our analysis is to determine a few indicators of heavy traffic on I-94. These indicators can be weather type, time of the day, time of the week, etc.

henyerm

Config files for my GitHub profile.

hotel-project

For this project, It is needed to know if Hotels' revenue is growing and if there is any trend in the data. We will analyze this data and use PowerBI to visualize the results.

investigating-fandango-movies-rating

In October 2015, Walt Hickey from FiveThirtyEight published a popular article where he presented strong evidence which suggest that Fandango's movie rating system was biased and dishonest. In this project, we'll analyze more recent movie ratings data to determine whether there has been any change in Fandango's rating system after Hickey's analysis.

it-tickets-analyst

The purpose of this project is to utilize dynamic parameters in powerBI using data related to IT tickets in order to get some insights.

mobile-app-for-lottery-addiction

In this project, we are going to contribute to the development of a mobile app by writing a couple of functions that are mostly focused on calculating probabilities. The app is aimed to both prevent and treat lottery addiction by helping people better estimate their chances of winning.

popular-data-science-questions

Our goal in this project is to use Data Science Stack Exchange to determine what content should a data science education company create, based on interest by subject.

predicting-bike-rentals

In this project, we will try to predict the total number of bikes people rented in a given hour using a data collected by Hadi Fanaee-T at the University of Porto. To accomplish this, we will create a few different machine learning models and evaluate their performance. ou can download the data from the University of California, Irvine's website.

predicting-car-prices

In this project we will practice some machine learning workflow to predict a car's market price using its attributes.

predicting-house-sell-price

In this project we will work with housing data for the city of Ames, Iowa, United States from 2006 to 2010. You can read more about why the data was collected here (https://doi.org/10.1080/10691898.2011.11889627). You can also read about the different columns in the data here (https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889627).

predicting-the-stock-market-with-linear-regression

In this project, we worked with data from the S&P500 Index. The S&P500 is a stock market index. We used historical data on the price of the S&P500 Index to make predictions about future prices.

project_-profitable-app-profiles-for-the-app-store-and-google-play-markets

With this project we would are planning to analyze all of the free apps in the Google store and Apple store to select the apps that are more likely to attract more users.

sales-analysis

Set of real world data science tasks completed using the Python Pandas library by KeithGalli. Youtube video link in the description.

solutions

Solutions for projects.

star-wars-movie-rankings-

In this project will discover which of the first 6 original star wars movies is the most viewed using a data base from data collecting by a website.

winning-jeopardy-project

Jeopardy is a popular TV show in the US where participants answer questions to win money. It's been running for many years, and is a major force in popular culture. In this project, we'll work with a dataset of Jeopardy questions to figure out some patterns in the questions that could help you win.