(Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
Python DB API client library for CrateDB, using HTTP.
A curated list with useful Python programming tools and libraries, as well as other noteworthy resources.
The most complete, beginner-to-advanced Python course on the internet. Modular learning, hands-on projects, animations, and real-world applications — from basics to AI. Taught by Data With Baraa.
𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆
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
Python Data Analysis 's project.
Extracting Reddit information using the PRAW library in Python, and carrying out some analysis on it.
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.
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Simple Data Analysis and fitting a Linear Regression Model on a football dataset using Python
This case study aims to give you an idea of applying EDA in a real business scenario. In this study, apart from applying the techniques from EDA module, you will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
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.
Columbia SPS Applied Analytics
This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.
Portfolio Projects
A sophisticated candidate selection algorithm leveraging multi-criteria analysis and machine learning to identify top software engineering candidates. This tool features flexible filtering, score adjustment, and detailed visualizations to streamline the recruitment process.
Hack 4 LA: City of Los Angele's Crime and Arrest Data Project
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