data-science-portfolio and Erlemar.github.io

data-science-portfolio
51
Established
Erlemar.github.io
41
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 23/25
Stars: 1,224
Forks: 449
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 367
Forks: 80
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License 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 Erlemar.github.io

Erlemar/Erlemar.github.io

Data science portfolio

This portfolio showcases various data science projects, from identifying handwritten digits and building a Telegram chatbot to competing in Kaggle challenges focused on demand prediction, purchase categorization, and sentiment analysis. It takes raw data, such as images, text, and tabular datasets, and processes them to generate predictions, classifications, or analytical insights. Data scientists, machine learning engineers, and researchers can explore these examples to understand practical applications of machine learning algorithms across diverse domains.

Machine Learning Portfolio Kaggle Competitions Data Analysis Examples Image Recognition Natural Language Processing

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