Data-Portfolio and ML-Portfolio

Data-Portfolio
43
Emerging
ML-Portfolio
29
Experimental
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 19/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 8/25
Stars: 53
Forks: 19
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
Stars: 9
Forks: 1
Downloads:
Commits (30d): 0
Language:
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Data-Portfolio

tushar2704/Data-Portfolio

This repository showcases my skills and experience in the field of data analysis. Here, you will find a collection of projects and analyses that demonstrate my ability to extract insights and make data-driven decisions.

This repository is a collection of data analysis projects designed to help aspiring data analysts and business intelligence professionals understand common analytical workflows. It showcases how to take raw data, like sales figures or social media interactions, and transform them into actionable insights and forecasts. The projects cover various real-world scenarios, from predicting retail sales to analyzing stock market trends.

sales-forecasting retail-analytics market-analysis financial-analysis social-media-analytics

About ML-Portfolio

tushar2704/ML-Portfolio

This repository showcases a collection of machine learning projects in various domains, demonstrating my skills and expertise as a data scientist and machine learning engineer. Each project provides step-by-step instructions, code, and visualizations to showcase the data analysis and modeling techniques employed.

This collection of projects helps data scientists and machine learning engineers demonstrate their practical skills in various business applications. It provides detailed examples of how to approach problems like sales forecasting, customer segmentation, and natural language translation. Each project includes step-by-step instructions, code, and visualizations, showing how to transform raw data into actionable insights and predictive models.

Sales Forecasting Customer Segmentation Demand Prediction Human Resources Analytics Product Recommendation

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