data-science-portfolio and ML-Portfolio

data-science-portfolio
51
Established
ML-Portfolio
29
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 8/25
Stars: 1,224
Forks: 449
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
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-science-portfolio

sajal2692/data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

This collection of projects demonstrates various data science techniques to solve real-world problems. It takes in diverse datasets, such as housing prices, customer spending, or social survey results, and produces insights, predictions, or classifications. Aspiring data scientists, analysts, or students looking for practical examples to learn from would find this useful.

data-analysis machine-learning-examples natural-language-processing data-visualization predictive-modeling

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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