文件名称：deep-analysis:机器学习为财务-正在进行中
文件大小：1.38MB
文件格式：ZIP
更新时间：2024-05-18 02:10:02
machine-learning-algorithms cryptocurrency algorithmic-trading JupyterNotebook
带有加密货币的深度分析 构建设置以进行深度分析 git clone https://github.com/Draichi/deep-analysis.git cd deep-analysis pip3 install -r requeriments.txt python3 cryptos/deep_analysis.py # a window will pop-up with the chart python3 cryptos/cryptos_prediction.py -d 7 -c 0.02 -$ BTC # or python3 cryptos/cryptos_prediction.py --help
【文件预览】：
deep-analysis-master
----stocks_prediction()
--------main.py(3KB)
----screenshots()
--------tsla-analysis.png(54KB)
--------custom_k_means.png(12KB)
--------custom_mean_shift.png(11KB)
--------custom-mean-shift.png(17KB)
--------financev1.png(39KB)
--------regression_google_data.png(28KB)
--------svm_scratch.png(27KB)
--------sp500_corelation_heatmap.png(33KB)
--------google_data.png(53KB)
--------bitcoin-forecast.png(28KB)
--------google_data_zoom.png(55KB)
--------best_fit_slope.png(26KB)
--------tesla_ohlc_zoom.png(22KB)
--------tesla_ohlc.png(23KB)
--------coindesk-bpi-chart.png(33KB)
----clustering()
--------k-means.py(767B)
--------custom_k_means.py(4KB)
--------titanic_clustering.py(3KB)
--------custom_mean_shift.py(6KB)
--------mean_shift_titanic_data.py(3KB)
----requirements.txt(129B)
----svm()
--------breast_cancer_classification.py(1KB)
--------svm_from_scratch.py(6KB)
--------example.py(331B)
--------euclidean_distance.py(2KB)
--------finance1.py(718B)
--------best_fit_slope.py(2KB)
----.gitignore(77B)
----.ipynb_checkpoints()
--------licas-checkpoint.ipynb(1KB)
--------deep-analysis-checkpoint.ipynb(1.31MB)
--------tesla_analysis-checkpoint.ipynb(8KB)
----README.md(646B)
----cryptos()
--------deep-analysis.py(7KB)
--------google_regression.py(4KB)
--------bitcoin_forecast.py(4KB)
--------gettin_s&p500.py(4KB)
--------get_method2.py(456B)
--------cryptos_prediction.py(4KB)
--------coingekko.py(2KB)
--------bitcoin_forecast_v2.py(3KB)
--------gekkotest.py(5KB)
--------get_method1.py(308B)
--------rupaya_forecast.py(3KB)
--------preprocessin_ml.py(1018B)
--------tesla_ohlc.py(4KB)
----datasets()
--------linearregression.pickle(563B)
--------sp500tickers.pickle(6KB)
--------sp500_joined_closes.csv(856KB)
--------altcoins_joined_closes_20181405.csv(204KB)
--------breast-cancer-wisconsin.data.txt(20KB)
--------titanic.xls(278KB)
--------tsla.csv(122KB)
--------rupaya_11-08-2017_16-05-2018.csv(19KB)
--------rupx.pickle(563B)
----.vscode()
--------settings.json(70B)
--------keybindings.json(109B)