Skip to content
View vusalaghazarli's full-sized avatar

Block or report vusalaghazarli

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. analyze_data_with_SQL analyze_data_with_SQL Public

    Relational databases store data in tables. Tables can grow large and have a multitude of columns and records. Relational database management systems (RDBMS) use SQL (and different types of SQL) to …

    Jupyter Notebook 1

  2. Who_Survived_on_the_Titanic-ML_Classification_Algorithms Who_Survived_on_the_Titanic-ML_Classification_Algorithms Public

    In this project machine learning classification algorithms will be used to predict which passengers survived the sinking of the Titanic based on features with a real dataset. Dataset: https://www.k…

    Jupyter Notebook 1 1

  3. medical_insurance_costs-Python_OOP medical_insurance_costs-Python_OOP Public

    I will be making data analysis in a given dataset using Python including Object-oriented programming (OOP). For this project, I will be investigating a medical insurance costs in a CSV file using t…

    Jupyter Notebook

  4. predicting_rental_prices-machine_learning_regression_analysis predicting_rental_prices-machine_learning_regression_analysis Public

    In this project I will be working with a real dataset provided by Codecademy + StreetEasy that contains a sample of 5,000 rentals listings in NYC. I am going to use Regression algorithms on a datas…

    Jupyter Notebook

  5. life_expectancy_analysis-data_visualization life_expectancy_analysis-data_visualization Public

    This project will investigate different features of countries and the life expectancy of their citizens. The goals are to prepare data, followed by analysis with plots, and seek to explain the find…

    Jupyter Notebook

  6. electronics_product_pricing electronics_product_pricing Public

    In this project electronic products will be analyzed by their different features in a given dataset. Dataset: https://www.kaggle.com/datasets/manishkc06/electronics-product-pricing-dataset

    Jupyter Notebook