There are 10 repositories under python-data-analysis topic.
(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.
A curated list with useful Python programming tools and libraries, as well as other noteworthy resources.
𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆
:octocat: 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.
This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.
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.
Portfolio Projects
Columbia SPS Applied Analytics
Hack 4 LA: City of Los Angele's Crime and Arrest Data Project
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.
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.
ITI Final/Graduation Project.
Crypto Currency Ethereum Price Tracking Using Python
Medication Store GUI using tkinter GUI and dataset of medications.
Project utilizing web scraping, data cleaning, sorting, database uploading, data analysis, and clustering for data processing and analysis purposes.
Risk Analytics using Python
Risk Analytics using Python
A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)
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.
Basics of manipulating, pre-processing, cleaning, and wrangling data in Python
Python data science projects completed during my IBM Professional Data Science Certification.
Repository for code and analysis related to my master's thesis on leveraging big data analytics for enhancing financial inclusion in Nigeria and other developing economies. Includes scripts, notebooks, and models for analyzing financial inclusion data, assessing impact, and addressing challenges. University: CBS International Business School
Udacity Nanodegree Program, investigating dataset project using the Soccer dataset.
Project for the course 02631 Introduction to programming and data processing Fall 21 DTU.
02631 Introduction to programming and data processing Fall 21 DTU
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.
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.