Jovian Blog
Prediction of Employee Attrition using Machine Learning
Employee attrition can have a significant impact on an organization's bottom line. The cost of losing employees and recruiting new ones can be substantial. Machine Learning algorithms can help organizations predict which employees are most likely to leave and take proactive steps to retain them. In this article, we will explore the use of ML for predicting employee attrition, and the steps involved in implementing a predictive model.
Employee attrition can have a significant impact on an organization's bottom line. The cost of losing employees and recruiting new ones can be substantial. Machine Learning algorithms can help organizations predict which employees are most likely to leave and take proactive steps to retain them. In this article, we will explore the use of ML for predicting employee attrition, and the steps involved in implementing a predictive model.
Forecasting Walmart Weekly Sales using Machine Learning
Walmart is an American Retail, Wholesale and E-commerce business. Sam Walton founded Walmart in 1962 in Rogers, Arkansas. His goal was to help people "Save Money and Live Better" which continues to be Walmart's guiding mission with "Every Day Low Prices(EDLC)" and great service.
Walmart is an American Retail, Wholesale and E-commerce business. Sam Walton founded Walmart in 1962 in Rogers, Arkansas. His goal was to help people "Save Money and Live Better" which continues to be Walmart's guiding mission with "Every Day Low Prices(EDLC)" and great service.
Aviation incidents in Canada: 80 years of data
The aviation industry is a complex collaboration of multiple fields, from manufacturers to commercial airlines. Data collection and analysis is a key factor in the safety management systems. In this notebook, we will analyze aviation occurrence data provided by Transport Canada.
The aviation industry is a complex collaboration of multiple fields, from manufacturers to commercial airlines. Data collection and analysis is a key factor in the safety management systems. In this notebook, we will analyze aviation occurrence data provided by Transport Canada.
Clickstream Sales Analysis - Online shopping
In this notebook, we will analyze and visualize dataset containing information on clickstream from the online store sales of pregnant woman clothing to deduce some intriguing insights.
In this notebook, we will analyze and visualize dataset containing information on clickstream from the online store sales of pregnant woman clothing to deduce some intriguing insights.
Exploratory Data Analysis of Shrinkme
Exploratory analysis and predictive analysis techniques help businesses to structure and recalibrate their pricing, marketing, inventory strategies and more in real-time. B2C e-commerce businesses generate voluminous amounts of data. In this notebook we will perform the exploratory data analysis for a multi-category store using Python, Pandas, Matplotlib and Seaborn.
Exploratory analysis and predictive analysis techniques help businesses to structure and recalibrate their pricing, marketing, inventory strategies and more in real-time.
B2C e-commerce businesses generate voluminous amounts of data. In this notebook we will perform the exploratory data analysis for a multi-category store using Python, Pandas, Matplotlib and Seaborn.
Exploratory Data Analysis Case Study - Global Cargo Data
EDA can help us deliver great business results, by improving our existing knowledge and can also help in giving out new insights that we might not be aware of. In this project, we are trying to analyse Global Cargo Data.
EDA can help us deliver great business results, by improving our existing knowledge and can also help in giving out new insights that we might not be aware of.
In this project, we are trying to analyse Global Cargo Data.
Web Scraping Yahoo! Finance Using Python
Web scraping is the process of extracting and parsing data from websites in an automated fashion using a computer program. It's a useful technique for creating datasets for research and learning.
Web scraping is the process of extracting and parsing data from websites in an automated fashion using a computer program. It's a useful technique for creating datasets for research and learning.
