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Join, Merge, Concat, Append, and Pivot table 1. Using the join MethodThe join method in pandas is used to combine two dataframes based on their index. Here is the syntax: DataFrame.join(other, on=None, how='left', lsuffix='', rsuffix='', sort=False) other: The dataframe to join with.on: Column or index level names to join on. Default is the index.how: Type of join to perform ('left', 'right', 'outer', 'inner'). Default is 'left'.lsuffix: S.. 2024. 5. 23.
The difference between deep learning and machine learning The difference between deep learning and machine learning Artificial Intelligence: Human capabilities and functions -> ComputerMachine Learning: Learns patterns, rules, and characteristics on its own using large amounts of data. (Data-dependent - if the data is wrong, it will fail) / Advantage: Just provide the data [because it learns by itself] -> Data must be very well refined.Deep Learning: D.. 2024. 5. 21.
Project - Bank Service Status Analysis and Improvement Project for Bank Service Status I have started a new project. Our team consists of four members, and we have decided to work together on this project. I have taken on the role of the team leader. Our team plans to analyze the "Analysis and Improvement Project for Bank Service Status." We downloaded the data from Kaggle. https://www.kaggle.com/datasets/khanmdsaifullahanja.. 2024. 5. 20.
With CTE I've been solving CodeKata questions and have already completed up to question number 76. While solving these questions, I wanted to practice using WITH CTE. Mastering WITH CTE seems like it will allow me to simplify complex code in various ways.  What is a CTE?A CTE (Common Table Expression) is a temporary result set defined within the execution scope of a single SQL statement. It improves the.. 2024. 5. 20.
WIL : Weekly I Learned 17.05.2024 WIL : Weekly I Learned 17.05.2024 FactsThis week, we learned about data preprocessing and visualization techniques. Starting today, we will embark on a new project. The chosen topic is service analysis using bank customer data.- Project Name: Bank Service Status Analysis and Improvement Project- Project Objective: The goal of this project is to understand the current state and issues of bank ser.. 2024. 5. 17.
Seaborn plot (Scatter, Hist, and Box) Today, I plan to practice again by using Seaborn to recreate the plots I made last time.  Seaborn is a Python package for data visualization, built on top of Matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics.Seaborn is used to visualize statistical data, particularly to explore relationships between variables. It offers a wide range of pl.. 2024. 5. 16.

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