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chatbot_1

data-science-portfolio-in-python

This repository contains machine learning and deep learning libraries.

data_cleaning_1

data_cleaning_2

excel_and_macros

fake-news-detection

This Python code implements a machine learning approach to classify news articles as real or fake. It utilizes techniques like: Data preprocessing (text cleaning, vectorization) Train-test split for model evaluation Classification models (Logistic Regression, Decision Tree, Random Forest, Neural Network) User input for news classification

hr-analytics-attrition-modeling

Improving HR Insights: Visualizing Data, Running Models, and Identifying Key Features in Employee Attrition dataset. Also creating a Recommendation System for Seamless Succession Planning.

macroeconomic-indicators-impact

This repository contains code for analyzing the impact of various macroeconomic indicators on financial markets, specifically focusing on the S&P 500 index, Bitcoin, and Gold. The analysis is divided into two main parts: Linear Regression and Time Series Regression using ARIMA models.

netflix_recommendation

power_bi_files

sentiment_analysis

sentimental_analysis_1

spotify-recommendation-system

twitter_api

web-scrapping

web_scraping_imdb