https://github.com/msjahid/machine-learning-projects

A collection of machine learning projects featuring models and algorithms for supervised and unsupervised learning, model evaluation, and optimization.
https://github.com/msjahid/machine-learning-projects

jupyter matplotlib numpy pandas python scikit-learn seaborn

Last synced: 4 months ago
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A collection of machine learning projects featuring models and algorithms for supervised and unsupervised learning, model evaluation, and optimization.

• Host: GitHub
• URL: https://github.com/msjahid/machine-learning-projects
• Owner: msjahid
• Created: 2024-07-23T19:46:03.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-25T08:41:43.000Z (7 months ago)
• Last Synced: 2024-10-11T14:42:36.358Z (4 months ago)
• Topics: jupyter, matplotlib, numpy, pandas, python, scikit-learn, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 13.7 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-Learning-Projects

Welcome to my Machine Learning Projects Showcase!

Machine learning projects featuring models and algorithms for model evaluation, and optimization.

## 1. Loan Status Analysis: Exploring Approval Patterns

🏦 Dive into the patterns of loan approvals with this comprehensive analysis. This project investigates the various factors influencing loan approval status, offering insights into how attributes like gender, marital status, dependents, education, self-employment, income, loan amount, loan term, credit history, and property area contribute to the approval decision.

[View Repository](https://github.com/msjahid/Machine-Learning-Projects/tree/main/Loan-Approval-Patterns)

[Click for Kaggle](https://www.kaggle.com/code/msjahid/loan-status-analysis-exploring-approval-patterns)

## 2. Iris Diversity: Analysis, Modeling, Prediction

🌸 Dive into the world of Iris flowers with this comprehensive analysis. This project explores the Iris dataset to understand the diversity among different Iris species, develop predictive models, and evaluate their performance.

[View Repository](https://github.com/msjahid/Machine-Learning-Projects/tree/main/iris_prediction)

[Click for Kaggle](https://www.kaggle.com/code/msjahid/iris-diversity-analysis-modeling-prediction)

## 3. Exploring Laptop Price Trends

💻 Dive into the trends of laptop prices with this detailed analysis. This project investigates various factors affecting laptop prices, including processor speed, RAM size, storage capacity, screen size, and weight.

[View Repository](https://github.com/msjahid/Machine-Learning-Projects/tree/main/laptop_price)

[Click for Kaggle](https://www.kaggle.com/code/msjahid/exploring-laptop-price-trends)

## 4. Diabetes Risk Analysis Pima Indians Exploration

🩸 Explore the factors influencing diabetes risk with this comprehensive analysis of the Pima Indians Diabetes dataset. This project investigates various attributes related to diabetes risk and uses machine learning models to predict diabetes status.

[View Repository](https://github.com/msjahid/Machine-Learning-Projects/tree/main/Diabetes-Risk-Analysis)

[Click for Kaggle](https://www.kaggle.com/code/msjahid/diabetes-risk-analysis-pima-indians-exploration)

Feel free to explore these projects to gain insights into different data science applications.