Machine-Learning-Projects

(★ 121)

Machine Learning - End to End Data Science Projects

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최종 버전 다운로드 (.zip)

- - database.sqlite
  - Iris.csv
- - decision_tree.png
  - feature_correlation.png
  - feature_pairplot.png
  - iris_descriptive_stats.png
  - iris_species.jpeg
  - iris_species.png
  - load_iris.png
  - model_performance.png
  - petal_length_width.png
  - petal_sepal_length.png
  - petal_width_sepal_length.png
  - predictions.png
  - tree_code.png
- - Iris.ipynb
- iris_species_classifier.py
- README.md
- - test_Y3wMUE5_7gLdaTN.csv
  - train_u6lujuX_CVtuZ9i.csv
- - ApplicantIncomeDistribution.png
  - CoapplicantIncomeDistribution.png
  - correlation_of_features.png
  - correlation_of_features_with_loan_status.png
  - credit_counts_0.png
  - credit_counts_1.png
  - credit_counts_2.png
  - credit_counts_3.png
  - credit_counts_4.png
  - credit_counts_5.png
  - credit_counts_6.png
  - credit_counts_7.png
  - credit_counts_8.png
  - decision_tree_classifier_model_performance.png
  - decision_tree_model_performance.png
  - dependents_counts_0.png
  - dependents_counts_1.png
  - dependents_counts_2.png
  - dependents_counts_3.png
  - dependents_counts_4.png
  - dependents_counts_5.png
  - dependents_counts_6.png
  - dependents_counts_7.png
  - dependents_counts_8.png
  - education_counts_0.png
  - education_counts_1.png
  - education_counts_2.png
  - education_counts_3.png
  - education_counts_4.png
  - education_counts_5.png
  - education_counts_6.png
  - education_counts_7.png
  - education_counts_8.png
  - employed_counts.png
  - employed_counts_0.png
  - employed_counts_1.png
  - employed_counts_2.png
  - employed_counts_3.png
  - employed_counts_4.png
  - employed_counts_5.png
  - employed_counts_6.png
  - employed_counts_7.png
  - employed_counts_8.png
  - feature_importances.png
  - gender_counts.png
  - gender_counts_0.png
  - gender_counts_1.png
  - gender_counts_2.png
  - gender_counts_3.png
  - gender_counts_4.png
  - gender_counts_5.png
  - gender_counts_6.png
  - gender_counts_7.png
  - gender_counts_8.png
  - gender_description.png
  - loan-approved.jpg
  - loan_amount_term.png
  - Loan_Amount_Term_value_counts.png
  - loan_status_count.png
  - loan_status_counts.png
  - LoanAmountDescription.png
  - LoanAmountDistribution.png
  - logistic_model_performance.png
  - married_counts.png
  - married_counts_0.png
  - married_counts_1.png
  - married_counts_2.png
  - married_counts_3.png
  - married_counts_4.png
  - married_counts_5.png
  - married_counts_6.png
  - married_counts_7.png
  - married_counts_8.png
  - property_counts_0.png
  - property_counts_1.png
  - property_counts_2.png
  - property_counts_3.png
  - property_counts_4.png
  - property_counts_5.png
  - property_counts_6.png
  - property_counts_7.png
  - property_counts_8.png
  - term_counts.png
  - test_data_predictions.png
- - Loan Prediction.ipynb
- loan_status_predictor_model.py
- README.md
- - weight-height.csv
- - feature-correlaion.png
  - feature-relations.png
  - gender_height.png
  - gender_weight.png
  - height_distribution.png
  - weight_distribution.png
- - Gender Classifcation.ipynb
- gender_classifier.py
- README.md
- - weight-height.csv
- - feature-correlaion.png
  - feature-relations.png
  - gender_height.png
  - gender_weight.png
  - height_distribution.png
  - modelperformance.png
  - weight_distribution.png
- - Weight Prediction.ipynb
- README.md
- weight_predictor.py
- - housing.csv
- - age.png
  - b.png
  - chas.png
  - correlation_with_price.png
  - crim.png
  - dis.png
  - feature_importances.png
  - features_correlation.png
  - indus.png
  - lstat.png
  - medv.png
  - nox.png
  - pairplot.png
  - ptration.png
  - rad.png
  - random_decision_tree_regressor.png
  - random_forest_diff_max_depth.png
  - random_forest_diff_RF_models.png
  - random_forest_diff_train_samples.png
  - rm.png
  - tax.png
  - zn.png
- - Boston Housing Price Prediction.ipynb
- house_price_predictor.py
- README.md
- ML_Projects.csv
- social-media-links.csv
- boston.gif
- gender.gif
- iris.gif
- loan.gif
- main.png
- weight.gif
- boston_house_price_predictor.pkl
- gender_classifier.pkl
- iris_species_classifier.pkl
- loan_status_predictor.pkl
- weight_predictor.pkl
- - data_extraction.cpython-37.pyc
- data_extraction.py
- - all_projects.css
  - all_projects.css.map
  - all_projects.min.css
  - all_projects.sass
  - boston.css
  - boston.min.css
  - boston.sass
  - gender.css
  - gender.min.css
  - gender.sass
  - iris.css
  - iris.min.css
  - iris.sass
  - loan.css
  - loan.min.css
  - loan.sass
  - weight.css
  - weight.min.css
  - weight.sass
- - Resume.pdf
- - bootstrap.bundle.js
  - bootstrap.bundle.js.map
  - bootstrap.bundle.min.js
  - bootstrap.bundle.min.js.map
  - bootstrap.js
  - bootstrap.js.map
  - bootstrap.min.js
  - bootstrap.min.js.map
  - jquery-3.5.1.slim.min.js
  - popper.min.js
- all_projects.html
- base.html
- boston_house_price_predictor.html
- gender_classifier.html
- iris_species_classifier.html
- loan_status_predictor.html
- weight_predictor.html
LICENSE.txt
ml_projects.py
Procfile
README.md
requirements.txt
runtime.txt

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/ASHOKKUMAR-K/Machine-Learning-Projects

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd Machine-Learning-Projects

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

Machine-Learning-Projects

파일 탐색기

# 설치 가이드

2. Python

오늘의 추천 프로젝트

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Machine-Learning-Projects

파일 탐색기

# 설치 가이드

2. Python

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README