├── .gitignore ├── 0. Data Prep └── data_prep.py ├── 1. Supervised Learning Models ├── .DS_Store ├── 1. linear_regression.py ├── 2. logistic_regression_model.py ├── 3. naive_bayes_model.py ├── 4. random_forest_model.py ├── README.md ├── linear_regression_summary_with_explanation.png ├── logistic_regression_summary_with_explanation.png ├── naive_bayes_summary_with_explanation.png └── random_forest_summary_with_explanation.png ├── 2. Unsupervised Learning Models ├── .DS_Store ├── 1. clustering.py ├── 2. dimensionality_reduction.py ├── PCA_financial_data_with_full_explanation.png ├── README.md └── kmeans_financial_data_with_explanation.png ├── 3. Deep Learning Models ├── .DS_Store ├── Anomaly_Detection_Using_Autoencoder.png ├── Apple_Stock_Price_Prediction.png ├── Financial_News_Sentiment_Analysis.png ├── GAN_Financial_Simulation.png ├── README.md ├── supervised_deep_learning_models │ ├── .DS_Store │ ├── 1. recurrent_neural_network_RNN_lstm.py │ └── 2. convolutional_neural_networks_(CNNs).py └── unsupervised_deep_learning_models │ ├── .DS_Store │ ├── 3. autoencoders.py │ └── 4. generative_adversarial_networks_(GANs).py ├── 4. Reinforcement Learning Models ├── Q_Learning_Stock_Trading_YFinance.png ├── README.md └── q_learning.py ├── 5. ML Applications In Finance ├── .DS_Store ├── 01. Risk Management ✅ │ ├── .DS_Store │ ├── 1. credit_scoring✅.py │ ├── 2. value-at-risk_modeling✅.py │ ├── 3. fraud_detection✅.py │ └── 4. operational_risk_modeling✅.py ├── 02. Asset Management ✅ │ ├── .DS_Store │ ├── 1. portfolio_optimization✅.py │ ├── 2. algorithmic_trading✅.py │ ├── 3. index_tracking✅.py │ ├── 4. pairs_trading✅.py │ └── requirements.txt ├── 03. Market Analysis And Prediction │ ├── .DS_Store │ ├── 1. price_forecasting.py │ ├── 2. sentiment_analysis.py │ ├── 3. option_pricing.py │ └── 4. order_flow_prediction.py ├── 04. Customer Service │ ├── .DS_Store │ ├── 1. chatbots.py │ ├── 2. personal_finance_management.py │ └── 3. customer_segmentation.py ├── 05. Compliance and Regulatory │ ├── .DS_Store │ ├── 1. anti_money_laundering_AML.py │ ├── 2. regulatory_reporting_automation.py │ └── 3. insider_trading_detection.py ├── 06. Real Estate │ ├── .DS_Store │ ├── 1. property_valuation.py │ └── 2. investment_analysis.py ├── 07. Supply Chain Finance │ └── supply_chain_finance.py ├── 08. Invoice Management │ └── invoice_management.py ├── 09. Cash Management │ └── cash_management.py ├── 10. Decentralized Finance (DEFI) │ ├── 1.yield_farming_optimizer.py │ └── 2.smart_contract_auditor.py ├── 11. Environmental Social And Governance Investing (ESG) │ ├── 1.sustainability_analytics.py │ └── 2.impact_measurement.py ├── 12. Behavioural Economics │ ├── 1.nudges.py │ └── 2.investor_sentiment_models.py ├── 13. Blockchain And Cryptocurrency │ └── cryptocurrency_price_prediction.py ├── 14. Explainable AI For Finance │ └── model_interpretability.py ├── 15. Robotic Process Automation (RPA) │ └── automated_invoice_processing.py ├── 16. Textual And Alternative Data For Finance │ ├── news_analytics.py │ └── reddit_sentiment_and_market_trends.py ├── 17. Fundamental Anaysis │ ├── automated_10kand10Q_parser.py │ └── financial_ratios_dashboard.py ├── 18. Satellite Image Analysis For Finance │ ├── agricultural_yield_prediction.py │ ├── disaster_impact_assessment.py │ ├── natural_resource_exploration.py │ ├── real_estate_development_monitoring.py │ ├── retail_traffic_analysis.py │ ├── shipping_activity.py │ └── tech_stack.txt ├── 19. Venture Capital │ ├── cap_table_simulation.py │ ├── investment_thesis_generator.py │ ├── portfolio_monitoring.py │ └── startup_scouting_dashboard.py ├── 20. Private Equity │ ├── buyout_model_automation.py │ ├── deal_sourcing.py │ ├── due_dilligence_automation.py │ ├── esg_integration.py │ └── post_acquisition_value_creation.py ├── 21. VC & PE General Tools │ ├── investor_matching.py │ ├── sector_trend_analysis.py │ ├── sentiment_analysis_for_foundersandexecutives.py │ └── valuation_multiples_benchmarking.py ├── 22. Investment Banking │ ├── .DS_Store │ ├── 1. mergers_and_acquisitions_M&A │ │ ├── .DS_Store │ │ ├── deal_comparator.py │ │ ├── manda_target_screening.py │ │ └── synergy_estimator.py │ ├── 2. valuation_and_financial_modeling │ │ ├── automated_dcf_model.py │ │ ├── capital_structure_optimizer.py │ │ ├── comparable_company_analysis.py │ │ └── wacc_calculator.py │ ├── 3. risk_management │ │ ├── credit_risk_assessment.py │ │ └── foreign_exchange_risk_management.py │ ├── 4. ipo_process │ │ ├── ipo_valuation_model.py │ │ └── roadshow_presentation_generator.py │ └── 5. client_and_market_analysis │ │ ├── client_relationship_management_CRM.py │ │ ├── market_sentiment_analysis.py │ │ └── pitchbook_automation.py ├── 23. trading │ ├── algorithmic_trading_bot.py │ ├── market_maker_simulator.py │ └── orderbook_visualizer.py ├── 24. Portfolio Management │ ├── portfolio_optimizer.py │ ├── risk_parity_portfolio.py │ └── tax_efficient_portfolio_rebalancer.py ├── 25. Asset Management │ ├── alpha_beta_analysis.py │ ├── etf_tracker.py │ └── performance_attribution_tool.py ├── 26. Wealth Management │ ├── estate_planning_tool.py │ ├── retirement_planner.py │ └── robo_adviser_prototype.py ├── 27. Multi Asset Risk Model │ └── multi_asset_risk_model.py └── 28. Personal Financial Management App │ └── personal_financial_management.py ├── Brewfile ├── README.md ├── main.py └── requirements.txt /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/.gitignore -------------------------------------------------------------------------------- /0. Data Prep/data_prep.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/0. Data Prep/data_prep.py -------------------------------------------------------------------------------- /1. 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Customer Service/1. chatbots.py: -------------------------------------------------------------------------------- 1 | # Automated conversational agents for customer service. -------------------------------------------------------------------------------- /5. ML Applications In Finance/04. Customer Service/2. personal_finance_management.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/04. Customer Service/2. personal_finance_management.py -------------------------------------------------------------------------------- /5. ML Applications In Finance/04. Customer Service/3. customer_segmentation.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/04. Customer Service/3. customer_segmentation.py -------------------------------------------------------------------------------- /5. ML Applications In Finance/05. Compliance and Regulatory/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/05. Compliance and Regulatory/.DS_Store -------------------------------------------------------------------------------- /5. ML Applications In Finance/05. Compliance and Regulatory/1. anti_money_laundering_AML.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/05. Compliance and Regulatory/1. anti_money_laundering_AML.py -------------------------------------------------------------------------------- /5. ML Applications In Finance/05. Compliance and Regulatory/2. regulatory_reporting_automation.py: -------------------------------------------------------------------------------- 1 | # Automated systems for generating regulatory reports. -------------------------------------------------------------------------------- /5. ML Applications In Finance/05. Compliance and Regulatory/3. insider_trading_detection.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/05. Compliance and Regulatory/3. insider_trading_detection.py -------------------------------------------------------------------------------- /5. ML Applications In Finance/06. Real Estate/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/06. Real Estate/.DS_Store -------------------------------------------------------------------------------- /5. ML Applications In Finance/06. Real Estate/1. property_valuation.py: -------------------------------------------------------------------------------- 1 | # Automated valuation models for real estate pricing. -------------------------------------------------------------------------------- /5. ML Applications In Finance/06. Real Estate/2. investment_analysis.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/manujajay/machinelearning4finance/HEAD/5. ML Applications In Finance/06. Real Estate/2. investment_analysis.py -------------------------------------------------------------------------------- /5. ML Applications In Finance/07. Supply Chain Finance/supply_chain_finance.py: -------------------------------------------------------------------------------- 1 | # Optimization of supply chain processes and financing. -------------------------------------------------------------------------------- /5. ML Applications In Finance/08. Invoice Management/invoice_management.py: -------------------------------------------------------------------------------- 1 | # Automated processing and management of invoices. -------------------------------------------------------------------------------- /5. ML Applications In Finance/09. Cash Management/cash_management.py: -------------------------------------------------------------------------------- 1 | # Algorithms for optimal cash reserves and investment. -------------------------------------------------------------------------------- /5. ML Applications In Finance/10. 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