Skip to content
View Salma0-8's full-sized avatar
🦢
🦢

Block or report Salma0-8

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Salma0-8/README.md

🍒 Welcome to My GitHub Profile!

My Skills

Pinned Loading

  1. EA-Stocks-Financial-Analysis-with-Prophet-Plotly EA-Stocks-Financial-Analysis-with-Prophet-Plotly Public

    I executed time series analysis with Facebook Prophet to forecast EA stock trends. Integrated Python and Plotly for interactive visualizations, illustrating stock price movements and patterns. The …

    Jupyter Notebook 3

  2. S-P-500-Stocks-Time-Series-Regression S-P-500-Stocks-Time-Series-Regression Public

    I conducted a time series regression analysis on S&P 500 stock data to identify trends and patterns affecting stock prices. Utilizing advanced statistical techniques and machine learning models, I …

    Jupyter Notebook 4

  3. Finance-Odyssey Finance-Odyssey Public

    This repository contains curated roadmaps, case studies, and learning resources for finance careers involving programming and data. Each file offers a structured guide to mastering the tools, lang…

    155 22

  4. Loan-Risk-Forecasting-ML-and-Financial-Analysis Loan-Risk-Forecasting-ML-and-Financial-Analysis Public

    I implemented machine learning techniques, 'Random Forest and XGBoost,' for loan status prediction. Utilized SHAP for interpretability, yielding insights into predictions. Conducted hyperparameter …

    Jupyter Notebook 3

  5. S-P-500-ESG-Risk-Analysis-and-Predictionan S-P-500-ESG-Risk-Analysis-and-Predictionan Public

    This analysis explores ESG Risk Ratings of S&P 500 companies, handling missing values with KNN Imputer and performing sector-wise risk analysis. EDAand a Random Forest model reveal risk distributio…

    Jupyter Notebook 2

  6. Credit-Card-Fraud-Detection-A-Comprehensive-Machine-Learning-Approach Credit-Card-Fraud-Detection-A-Comprehensive-Machine-Learning-Approach Public

    Built a fraud detection system to handle an imbalanced credit card transaction dataset using SMOTE and NearMiss for data balancing. Trained multiple models, including Logistic Regression, SVM, Rand…

    Jupyter Notebook 2