An introductory workshop on pandas with notebooks and exercises for following along.
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Updated
Apr 27, 2024 - Jupyter Notebook
An introductory workshop on pandas with notebooks and exercises for following along.
(Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test
A curated list with useful Python programming tools and libraries, as well as other noteworthy resources.
一些关于Python的数据分析的书籍的练习(含数据),以及平时爬取的数据进行数据分析 豆瓣图书数据分析,Github followers分析,神秘巨星豆瓣短评分析等
𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆
This repository includes my notes in the form of jupyter notes in which I have explained everything that I understood from the book Python for Data Analysis by Wes McKinney.
Using Python's data analysis and machine learning tools to predict heart failure
Tasks and small projects related to data analysis. Mostly automatisation and data wrangling.
Columbia SPS Applied Analytics
Python Data Analysis 's project.
Medication Store GUI using tkinter GUI and dataset of medications.
A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
python data analysis using matplot library and numpy
This repository contains projects I've completed for DataCamp Data Science courses using programs such as Python, R, SQL, Excel, etc...
Project utilizing web scraping, data cleaning, sorting, database uploading, data analysis, and clustering for data processing and analysis purposes.
Hiring process is the fundamental and most important function of a company. In this project, we are provided with records of previous hirings and have been asked to answer certain questions to make sense out of data.
Risk Analytics using Python
Portfolio Projects
Este curso está diseñado para brindar una sólida comprensión de cómo integrar MySQL con Python, permitiendo a los estudiantes aprender a interactuar con bases de datos relacionales de manera eficiente y efectiva. Desde la configuración inicial hasta consultas avanzadas, aprenderás a desarrollar aplicaciones robustas y escalables.
IBM is an MNC and Attrition is a major risk to service-providing organizations where experienced people are the assets Here, I've created a program with Logistic Regression which would analyze an Organization Dataset and explore the attrition rate for various parameters and help in predicting the employees who are likely to leave.
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