Phishing attacks have grown to be a big problem for people and businesses in the modern digital age.SMS messages are one of the most widely used channels for phishing attempts.This project seeks to investigate the application of cutting-edge machine learning and NLP methods for the identification of phishing SMS (smishing) messages.

Project solving an murder using SQL queries in sqlite3

This project aims to predict stock prices using machine learning techniques and provide actionable insights for investors and financial analysts.

Introduction to data analysis using pandas

This work is based on a project from the Data Analyst Nanodegree of Udacity. It analyzes the characteristics of no-shows for medical appointments in Brazil and the effectiveness of SMS-reminders.

The analysis in this repository reveals some interesting comparisons of trending videos in the US and India. Hope you enjoy the insights!:)

🐍🤯 Utilising Python w/ Pandas and Jupyter to create Dataframes to read in 1994 US Census data to compile an Analytical Base Table (ABT) which displays a Categorical and Continuous Data Quality Report. Dealing with Data Quality Issues (DQIs) such as Cardinality Issues, Outliers and Missing Values.

This repository contains an analysis of employee attrition trends at Green Destinations. It includes data preprocessing, exploratory data analysis (EDA), and a predictive model using Logistic Regression to determine attrition likelihood based on employee attributes.

Final submission for Afretec Summer School in Smart Systems. We developed a deep learning module using PyTorch to predict COVID-19 cases. Utilizing an LSTM neural network, the model analyzes time-series data for forecasting. The project underscores the importance of data preprocessing and LSTM networks in sequential data analysis.