GitHub - thekimk/All-About-Financial-Data-Science: [Advanced] Data Science Fundamentals and Practical Applications for Financial Engineering

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파이썬을 활용한 금융공학 및 금융데이터분석 강의자료 공간입니다.

강의소개: https://fastcampus.co.kr/fin_online_quant
공지사항:
- 모든 강의자료는 Github로 공유될 예정입니다.
- 동영상은 편집 과정에서 목차구성이나 내용에 변화 또는 오류가 있을 수 있으나, 강의자료는 항상 최신이며 정확합니다.
- 강의자료의 오탈자를 포함한 내용이슈가 있어서 언제든 문의주시면 최대한 빨리 업데이트 할 계획입니다.
- 저의 강의종류와 방향은 Curriculum-Guide에서 확인할 수 있습니다.
- 그 외 강의전반적인 질문이나 실습관련 이슈들의 자주 등장하는 질문들은 Question-and-Answer에서 확인할 수 있습니다.

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
Data		Data
Image		Image
Lecture1-1_Basic_FinancialEngineering_DataScience_KK.ipynb		Lecture1-1_Basic_FinancialEngineering_DataScience_KK.ipynb
Lecture1-2_Basic_Probability_KK.ipynb		Lecture1-2_Basic_Probability_KK.ipynb
Lecture1-3_Basic_Statistics_KK.ipynb		Lecture1-3_Basic_Statistics_KK.ipynb
Lecture1-4_Baslc_Algorithm_KK.ipynb		Lecture1-4_Baslc_Algorithm_KK.ipynb
Lecture1-5_Basic_Visualization_KK.ipynb		Lecture1-5_Basic_Visualization_KK.ipynb
Lecture1-6_Basic_Programming_KK.ipynb		Lecture1-6_Basic_Programming_KK.ipynb
Lecture2-0_DataAnalysis_RealDataAnalysis_KK.ipynb		Lecture2-0_DataAnalysis_RealDataAnalysis_KK.ipynb
Lecture2-1_DataAnalysis_LearningAlgorithm_KK.ipynb		Lecture2-1_DataAnalysis_LearningAlgorithm_KK.ipynb
Lecture2-2_DataAnalysis_SupervisedRegression_KK.ipynb		Lecture2-2_DataAnalysis_SupervisedRegression_KK.ipynb
Lecture2-3_DataAnalysis_SupervisedClassification_KK.ipynb		Lecture2-3_DataAnalysis_SupervisedClassification_KK.ipynb
Lecture2-4_DataAnalysis_UnsupervisedClustering_KK.ipynb		Lecture2-4_DataAnalysis_UnsupervisedClustering_KK.ipynb
Lecture2-5_DataAnalysis_UnsupervisedReduction_KK.ipynb		Lecture2-5_DataAnalysis_UnsupervisedReduction_KK.ipynb
Lecture2-7_DataAnalysis_TimeSeries_KK.ipynb		Lecture2-7_DataAnalysis_TimeSeries_KK.ipynb
Lecture3-1_MachineLearning_SupervisedEvolution_KK.ipynb		Lecture3-1_MachineLearning_SupervisedEvolution_KK.ipynb
Lecture3-2_MachineLearning_SupervisedRegClass_KK.ipynb		Lecture3-2_MachineLearning_SupervisedRegClass_KK.ipynb
Lecture3-3_MachineLearning_SupervisedRegClassEnsemble_KK.ipynb		Lecture3-3_MachineLearning_SupervisedRegClassEnsemble_KK.ipynb
Lecture3-4_MachineLearning_Unsupervised_KK.ipynb		Lecture3-4_MachineLearning_Unsupervised_KK.ipynb
Lecture3-7_StatisticalLearning_TimeSeries_LinearMultivariate_KK.ipynb		Lecture3-7_StatisticalLearning_TimeSeries_LinearMultivariate_KK.ipynb
Lecture3-7_StatisticalLearning_TimeSeries_LinearUnivariate_KK.ipynb		Lecture3-7_StatisticalLearning_TimeSeries_LinearUnivariate_KK.ipynb
Lecture4-1_DeepLearning_HistoryAI_KK.ipynb		Lecture4-1_DeepLearning_HistoryAI_KK.ipynb
Lecture4-2_DeepLearning_AdvancedAI_KK.ipynb		Lecture4-2_DeepLearning_AdvancedAI_KK.ipynb
Lecture4-3_DeepLearning_BaseAlgorithms_KK.ipynb		Lecture4-3_DeepLearning_BaseAlgorithms_KK.ipynb
Practice0_Installation_ColabPythonJupyter_KK.pdf		Practice0_Installation_ColabPythonJupyter_KK.pdf
Practice1-1_Basic_JupyterNotebook_KK.ipynb		Practice1-1_Basic_JupyterNotebook_KK.ipynb
Practice1-2_Basic_InputOutput_KK.ipynb		Practice1-2_Basic_InputOutput_KK.ipynb
Practice1-3_Basic_InputVariable_KK.ipynb		Practice1-3_Basic_InputVariable_KK.ipynb
Practice1-4_Basic_ConditionLoop_KK.ipynb		Practice1-4_Basic_ConditionLoop_KK.ipynb
Practice1-5_Basic_Function_KK.ipynb		Practice1-5_Basic_Function_KK.ipynb
Practice1-6_Basic_Class_KK.ipynb		Practice1-6_Basic_Class_KK.ipynb
Practice1-7_Basic_InputNumpy_KK.ipynb		Practice1-7_Basic_InputNumpy_KK.ipynb
Practice1-8_Basic_InputDataFrame_KK.ipynb		Practice1-8_Basic_InputDataFrame_KK.ipynb
Practice1-9_Basic_Visualization_Matplotlib_KK.ipynb		Practice1-9_Basic_Visualization_Matplotlib_KK.ipynb
Practice2-1_DataAnalysis_Preprocessing_KK.ipynb		Practice2-1_DataAnalysis_Preprocessing_KK.ipynb
Practice2-1_DataAnalysis_Preprocessing_TimeSeries_KK.ipynb		Practice2-1_DataAnalysis_Preprocessing_TimeSeries_KK.ipynb
Practice2-2_DataAnalysis_SupervisedRegression_KK.ipynb		Practice2-2_DataAnalysis_SupervisedRegression_KK.ipynb
Practice2-3_DataAnalysis_SupervisedClassification_KK.ipynb		Practice2-3_DataAnalysis_SupervisedClassification_KK.ipynb
Practice2-4_DataAnalysis_Unsupervised_KK.ipynb		Practice2-4_DataAnalysis_Unsupervised_KK.ipynb
Practice2-7_DataAnalysis_TimeSeries_KK.ipynb		Practice2-7_DataAnalysis_TimeSeries_KK.ipynb
Practice2-7_DataAnalysis_TimeSeries_RealityMulticollinearity_KK.ipynb		Practice2-7_DataAnalysis_TimeSeries_RealityMulticollinearity_KK.ipynb
Practice3-3_MachineLearning_SupervisedClassification_KK.ipynb		Practice3-3_MachineLearning_SupervisedClassification_KK.ipynb
Practice3-3_MachineLearning_SupervisedRegression_KK.ipynb		Practice3-3_MachineLearning_SupervisedRegression_KK.ipynb
Practice3-4_MachineLearning_Unsupervised_KK.ipynb		Practice3-4_MachineLearning_Unsupervised_KK.ipynb
Practice3-7_StatisticalLearning_TimeSeries_LinearUnivariate_KK.ipynb		Practice3-7_StatisticalLearning_TimeSeries_LinearUnivariate_KK.ipynb
Practice3-8_StatisticalLearning_TimeSeries_NeuralProphet_KK.ipynb		Practice3-8_StatisticalLearning_TimeSeries_NeuralProphet_KK.ipynb
Practice4-1_DeepLearning_IntroKeras_KK.ipynb		Practice4-1_DeepLearning_IntroKeras_KK.ipynb
Practice4-2_DeepLearning_RegressionClassification_KK.ipynb		Practice4-2_DeepLearning_RegressionClassification_KK.ipynb
Practice4-3_DeepLearning_CNNArchitectures_KK.ipynb		Practice4-3_DeepLearning_CNNArchitectures_KK.ipynb
README.md		README.md
module_classification.py		module_classification.py
module_regression.py		module_regression.py
module_timeseries.py		module_timeseries.py

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