MyDataSciencePortfolio and Data-Science-Portfolio

MyDataSciencePortfolio
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 13/25
Stars: 405
Forks: 225
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 7
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About MyDataSciencePortfolio

KevinLiao159/MyDataSciencePortfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

This collection of projects helps business stakeholders understand critical business metrics and user behavior. It provides examples of how to analyze data, such as customer transaction histories or blog post content, to generate insights like why customers leave or what topics are trending. Business analysts, product managers, and marketing professionals can use these examples to understand their customers better and inform strategic decisions.

customer-retention content-analysis product-recommendation business-intelligence marketing-strategy

About Data-Science-Portfolio

srikhetramohanty/Data-Science-Portfolio

This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.

This resource provides comprehensive tutorials and from-scratch implementations of core machine learning and inferential statistics concepts. It offers end-to-end mini-projects demonstrating various data science algorithms, and also includes manual implementations of popular models benchmarked against industry-standard libraries. Data scientists, machine learning engineers, and advanced data analysts can use this to deepen their understanding of how these models work under the hood.

machine-learning-engineering statistical-analysis data-preprocessing model-interpretability algorithm-benchmarking

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