data-science-from-scratch
code for Data Science From Scratch book
파일 탐색기
최종 버전 다운로드 (.zip)- __init__.py
- charts.py
- clustering.py
- colon_delimited_stock_prices.txt
- comma_delimited_stock_prices.csv
- comma_delimited_stock_prices.txt
- databases.py
- decision_trees.py
- egrep.py
- getting_data.py
- gradient_descent.py
- hypothesis_and_inference.py
- introduction.py
- line_count.py
- linear_algebra.py
- logistic_regression.py
- machine_learning.py
- mapreduce.py
- most_common_words.py
- multiple_regression.py
- naive_bayes.py
- natural_language_processing.py
- nearest_neighbors.py
- network_analysis.py
- neural_networks.py
- plot_state_borders.py
- probability.py
- recommender_systems.py
- simple_linear_regression.py
- states.txt
- statistics.py
- stocks.txt
- tab_delimited_stock_prices.txt
- visualizing_data.py
- working_with_data.py
- __init__.py
- charts.py
- clustering.py
- colon_delimited_stock_prices.txt
- comma_delimited_stock_prices.csv
- comma_delimited_stock_prices.txt
- databases.py
- decision_trees.py
- egrep.py
- getting_data.py
- gradient_descent.py
- hypothesis_and_inference.py
- introduction.py
- line_count.py
- linear_algebra.py
- logistic_regression.py
- machine_learning.py
- mapreduce.py
- most_common_words.py
- multiple_regression.py
- naive_bayes.py
- natural_language_processing.py
- nearest_neighbors.py
- network_analysis.py
- neural_networks.py
- plot_state_borders.py
- probability.py
- README.md
- recommender_systems.py
- simple_linear_regression.py
- states.txt
- stats.py
- stocks.txt
- tab_delimited_stock_prices.txt
- visualizing_data.py
- working_with_data.py
- README.md
- README.md
- __init__.py
- clustering.py
- crash_course_in_python.py
- databases.py
- decision_trees.py
- deep_learning.py
- getting_data.py
- gradient_descent.py
- inference.py
- introduction.py
- k_nearest_neighbors.py
- linear_algebra.py
- logistic_regression.py
- machine_learning.py
- mapreduce.py
- multiple_regression.py
- naive_bayes.py
- network_analysis.py
- neural_networks.py
- nlp.py
- nlp_advanced.py
- probability.py
- recommender_systems.py
- simple_linear_regression.py
- statistics.py
- visualization.py
- working_with_data.py
- .gitignore
- comma_delimited_stock_prices.csv
- INSTALL.md
- LICENSE
- links.md
- README.md
- requirements.txt
- stocks.csv
// repository documentation
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