Predictive models identifying the major factors contributing to employee attrition and the state of attrition .
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Updated
Feb 19, 2024 - Jupyter Notebook
Predictive models identifying the major factors contributing to employee attrition and the state of attrition .
Detailed implementation of various time series analysis models and concepts on real datasets.
End-to-end Predictive Analytics ML Project
End-to-end Predictive Analytics ML Project
This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !
Autoregressor: simple and robust time series model selection
This GitHub repository hosts code for analyzing time series air pollution data in the United States. Utilizing a dataset from the U.S. EPA, the code conducts preprocessing, exploratory data analysis, feature selection, and model evaluation to uncover insights into air pollutant trends and correlations across various locations.
Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.
This repository contains the Plant Ecosystem Analysis project, utilizing R to investigate the relationship between native plant species richness and ecological factors within diverse geographical gradients.
Using linear regression models to assess the most important aspects of winning baseball
Data Science 2023-24
Solution in the form of a tutorial article wherein the key decisions made in conducting a CFA are validated through recent literature and presented within a dynamic document framework.
Bank Customer Churn Prediction with MLflow and MLOps
ππ Explore the Data Science Universe! Unlock insights and master data skills with hands-on assignments spanning machine learning, visualization, and more. Your journey to becoming a data expert starts here! π―π‘ DataScienceJourney
Credit Card fraud detection model using Machine Learning
Regression model building and forecasting in R
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