Thanks to visit codestin.com
Credit goes to github.com

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

Block or report Mylo-sk

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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

Pinned Loading

  1. AppVision-Analytic-App AppVision-Analytic-App Public

    A beautiful, production-ready Streamlit web application for predicting app install success, classifying app performance tiers, and discovering similar successful competitors.

    Python 1

  2. Salifort-Motors-Employee-Retention-Project- Salifort-Motors-Employee-Retention-Project- Public

    Your goals in this project are to analyze the data collected by the HR department and to build a model that predicts whether or not an employee will leave the company.

    Jupyter Notebook 1

  3. Waze-Navigation-App-User-Project Waze-Navigation-App-User-Project Public

    This project offers a comprehensive insight into user interactions within the Waze navigation app, crucial for understanding and mitigating user churn.

    Jupyter Notebook 2

  4. Automatidata-Project Automatidata-Project Public

    Automatidata is consulting for the New York City Taxi and Limousine Commission (TLC). The agency has partnered with Automatidata to develop a regression model that helps estimate taxi fares before …

    Jupyter Notebook 1

  5. HR-Dashboard- HR-Dashboard- Public

    A comprehensive dashboard to analyze human resources data, providing both summary views for high-level insights and detailed employee records for in-depth analysis

    1

  6. Cyclistic-Bike-Tripdata-Analysis Cyclistic-Bike-Tripdata-Analysis Public

    This case study focuses on analyzing the usage patterns of Cyclistic bike-share company's casual and annual member riders in order to maximize the number of annual memberships.

    HTML