Skip to content
View HenyerM's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report HenyerM

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Building-a-Spam-Filter-with-Naive-Bayes Building-a-Spam-Filter-with-Naive-Bayes Public

    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 greate…

    Jupyter Notebook 1

  2. California-housing-price-prediction California-housing-price-prediction Public

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

    Jupyter Notebook 1

  3. COVID-Project-SQL COVID-Project-SQL Public

    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 …

  4. HOTEL-Project HOTEL-Project Public

    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.

  5. IT-TICKETS-ANALYST IT-TICKETS-ANALYST Public

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

  6. Project_-Profitable-App-Profiles-for-the-App-Store-and-Google-Play-Markets Project_-Profitable-App-Profiles-for-the-App-Store-and-Google-Play-Markets Public

    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.

    Jupyter Notebook