explorerpanks2002 Goto Github PK

blog-website

First React App

credit-card-fraud-detection

Model for detecting fraud with anonymous credit card transactions In order to prevent customers from being charged for products they did not buy, credit card firms must be able to identify fraudulent credit card transactions. Highly Imbalanced data, which means that 99.8% of all transactions are legitimate.

get-involved_-tedx

road-accident-data-analysis

Made an Excel dashboard using pivot tables, performed data cleaning, data processing and visualizations on UK road accidents raw dataset.

sales-data-analysis-using-python

sentiment-analysis

This script analyzes tweets on specific topics to measure public sentiment towards global events. By assessing the emotional tone of each tweet, it distinguishes between positive and negative sentiments. It offers valuable insights into public opinions, providing a concise and efficient way to gauge sentiments on various subjects.

ted-website-section

Added speak, attend and join section.

tedx

telecom-customer-churn-analysis

used machine learning to predict customer churn in the telecom industry. The project involved data exploration, data preprocessing, exploratory data analysis, modeling, and hyperparameter tuning. The insights from the project could help telecom companies reduce customer churn and enhance service offerings.