Erfan-Daneshmand
Emerging Data Scientist with a Background in Industrial Engineering | Focused on AI Solutions
Pinned Repositories
Beijing-Housing-Data-Analysis-and-Visualization
In this project, we transformed raw housing data into a structured, insightful, and visually appealing analysis, offering a deeper understanding of the Beijing housing market. This project demonstrates effective data cleaning, feature engineering, and the power of visualization in data analysis.
Chocolate-Sales-Analysis-Optimization
"Explore the world of chocolate sales with our data-driven project! From initial dataset analysis to identifying top-selling chocolates and updating prices based on leading manufacturers, this project delves into optimizing sales strategies. Join us in analyzing revenue generation and enhancing business performance in the chocolate industry."
Comprehensive-Analysis-of-Beijing-City-Houses-Dataset
This project delves into the Beijing City Houses dataset, offering insights through data preprocessing, feature engineering, and visualization. It helps stakeholders in housing and urban planning make informed decisions. Access the full project here:
decision-tree-random-forest-diabetes
Classification of Diabetes Risk Using Decision Tree and Random Forest Models
Introduction_to_Tensorflow
Erfan-Daneshmand's Repositories
Erfan-Daneshmand/Chocolate-Sales-Analysis-Optimization
"Explore the world of chocolate sales with our data-driven project! From initial dataset analysis to identifying top-selling chocolates and updating prices based on leading manufacturers, this project delves into optimizing sales strategies. Join us in analyzing revenue generation and enhancing business performance in the chocolate industry."
Erfan-Daneshmand/Comprehensive-Analysis-of-Beijing-City-Houses-Dataset
This project delves into the Beijing City Houses dataset, offering insights through data preprocessing, feature engineering, and visualization. It helps stakeholders in housing and urban planning make informed decisions. Access the full project here:
Erfan-Daneshmand/decision-tree-random-forest-diabetes
Classification of Diabetes Risk Using Decision Tree and Random Forest Models
Erfan-Daneshmand/Beijing-Housing-Data-Analysis-and-Visualization
In this project, we transformed raw housing data into a structured, insightful, and visually appealing analysis, offering a deeper understanding of the Beijing housing market. This project demonstrates effective data cleaning, feature engineering, and the power of visualization in data analysis.
Erfan-Daneshmand/Introduction_to_Tensorflow