applied-finance

There are 1 repository under applied-finance topic.

• diliprk / DataCamp-Applied-Finance-Projects

  Collection of Data science projects related to Applied Finance

  applied-financedata-sciencepython
  Language:HTML 3

• iamanshika / Predicting-Credit-Card-Approvals

  I have built an automatic credit card approval predictor using machine learning techniques, just like the real banks do. This is a guided project under one of the courses that I took online.

  machine-learningcreditcard-validatordata-manipulationdata-visualizationapplied-financesupervised-learning
  Language:Jupyter Notebook 2

• abdulNasir-Code-Data-Viz / Predicting-Credit-Card-Approvals

  Built a machine learning model to predict if a credit card application will get approved.

  aiapplied-financedata-manipulationdata-scienceimporting-and-cleaning-datamachine-learningpython
  Language:Jupyter Notebook 1

• AfzalKamboh / Credit_Card_Approvals

  Build an ML-based credit card approval predictor for commercial banks to automate application analysis, saving time and reducing errors. High loan balances, low income, or excessive credit inquiries often lead to rejections. This project replicates real banks' automation for efficient, accurate, and faster decision-making.

  aiapplied-financedata-manipulationimporting-and-cleaning-datamachine-learning
  Language:Jupyter Notebook 1

• Mahnatse-rgb / Predict-Credit-Card-Approvals

  Build an automatic credit card approval predictor using machine learning techniques, just like the real banks do.

  data-manipulationmachine-learningimporting-and-cleaning-dataapplied-finance
  Language:Jupyter Notebook 1

• Arshpreet-Singh-1 / Predicting-Credit-Card-Approvals

  Build a machine learning model to predict if a credit card application will get approved.

  pythonmachine-learningimporting-and-cleaning-datadata-manipulationapplied-finance
  Language:Jupyter Notebook 0

• geositompul / Sharpe-ratio

  Analyze stock risk-return for investment decisions using Sharpe Ratio

  datacamp-projectsapplied-finance
  Language:Jupyter Notebook 0

• HermawanHermawan / credit-card-approvals

  Build a machine learning model to predict if a credit card application will get approved

  applied-financecredit-card-approvaldata-manipulationimporting-and-cleaning-datamachine-learning
  Language:Jupyter Notebook 0

• iokaware / Predicting-Credit-Card-Approvals

  A machine learning model to predict if a credit card application will get approved.

  applied-financedata-manipulationimporting-and-cleaning-datamachine-learning
  Language:Jupyter Notebook 0

• JuanPuentes25 / Predicting-Credit-Card-Approvals

  Commercial banks receive many applications for credit cards. Fortunately, this task can be automated with the power of machine learning, and virtually all commercial banks do it today. In this project, an automatic credit card approval predictor is built using machine learning techniques, just like real banks do.

  applied-financedata-manipulationimporting-and-cleaning-datamachine-learning
  Language:Jupyter Notebook 0

• SanjayShahdev / Predicting-Credit-Card-Approvals

  I have built a machine learning model to predict if a credit card application will get approved.

  machine-learningmachine-learning-algorithmspythonipython-notebookbankingfinancecredit-cardapplied-finance
  Language:Jupyter Notebook 0

• SanjayShahdev / Risk-and-Returns-The-Sharpe-Ratio

  I used pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.

  applied-financefinancial-analysisfintech
  Language:Jupyter Notebook 0

• shawnngtq / applied-finance

  Applied finance notes

  applied-financeapplied-statisticscheatsheetspython
  Language:Jupyter Notebook 0

• bottama / GARCH-models-in-R

  Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

  garchgarch-modelapplied-financevolatilityvolatility-modelingvalue-at-risktime-series-analysis
  Language:R

• dariga-sm / Predicting-Credit-Card-Approval

  build an automatic credit card approval predictor using machine learning techniques, just like the real banks do.

  applied-financepredictionmachine-learning
  Language:Jupyter Notebook

• HermawanHermawan / sharpe-ratio

  Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio

  applied-financerisk-return-predictive-analysissharpe-ratio
  Language:Jupyter Notebook

• kaymal / finance

  Financial concepts and applied finance with Python.

  applied-financefinancepythontime-series
  Language:Jupyter Notebook

• mashafie / Predicting-Credit-Card-Approvals

  Building a machine learning model to predict if a credit card application will get approved

  applied-financedata-manipulationdata-sciencedata-visualizationmachine-learning
  Language:Jupyter Notebook