Tanay Dwivedi's repositories
Sorting-Algorithms
The repository has provided a summary of sorting algorithms. In this summary, the repository explains that sorting involves arranging a collection of elements or data in a specific order, typically in ascending or descending order based on the values of the elements. The repository also discusses the key features and real-life examples of sorting.
Steganographic-App
The Steganographic App uses the Stegano library and Pillow for LSB-based steganography, offering a simple interface to hide and reveal secret messages within images.
Python-Projects
Learning python with projects for Data Science
Animes-Data-Analysis
Analyzing a dataset of anime details to uncover trends in content, popularity, and quality, aiding decision-making in the anime industry.
Cars-Dataset-Data-Analysis
The project analyzed a dataset of cars, investigating various attributes such as origin, engine size, horsepower, MPG, weight and length, uncovering insights into relationships, and distributions within the automotive industry.
COVID-19-Dataset-Data-Analysis
This project analyzes a COVID-19 dataset, exploring various aspects such as regional distributions, comparisons between confirmed cases, deaths, and recoveries, and correlation analysis, using Python libraries like Matplotlib, Plotly, and Seaborn.
DADS-practice
Language Learning
Economic-Data-Analysis
The project aims to analyze and visualize economic indicators, including the S&P 500 index and unemployment rates across U.S. states, using data retrieved from the FRED API.
Electoral-Bonds-Data-Analysis
The project analyzes purchasing behavior of electoral bonds through data visualization to gain insights into trends, denominations, key purchasers, and seasonal patterns, facilitating strategic decision-making in electoral funding strategies.
Enalsis-Document
Documentation website for the enalsis python package
English-pip-Package
Enalsis: Your go-to Python package for NLP tasks. Simplifying text analysis with entity recognition, sentiment analysis, parsing, and more.
Gold-Price-Data-Analysis
The project involves analyzing historical gold market data (2010 - 2023) to extract insights on price movements, technical indicators, and market trends.
India-Census-Data-Analysis
This project involves analyzing demographic features and literacy rates across Indian districts using the comprehensive "India Census 2011" dataset to gain insights into socio-economic dynamics and inform targeted policy interventions.
London-Bike-Sharing-Data-Analysis
The project aims to conduct in-depth analysis of the London Bike Sharing dataset to discern usage patterns and influential factors impacting bike rental counts, facilitating informed decision-making for stakeholders.
London-Housing-Data-Analysis
The project involves conducting a comprehensive analysis of London's housing data to extract valuable insights, support decision-making processes, and identify potential issues within the housing market.
Marathon-Running-Data-Analysis
The project involves exploratory data analysis of marathon race data to uncover patterns, explore relationships between variables, and generate insights aimed at optimizing athlete performance and race organization strategies.
Media-Box
A web app that downloads videos, converts and stuff using python.
Netflix-Dataset-Data-Analysis
This project involves analyzing a Netflix dataset to derive insights on show ratings, release trends, durations, geographical distribution, and content types, facilitating strategic decision-making and content curation efforts.
Police-Dataset-Data-Analysis
The project conducts comprehensive data analysis on a police dataset to uncover patterns, biases, and insights in law enforcement practices, aiding in policy formulation and enhancing transparency.
Tanay-Dwivedi
Config files for my GitHub profile.
Udemy-Courses-Data-Analysis
The project aims to analyze a dataset of Udemy courses to understand course characteristics, explore user engagement metrics, and assess market dynamics within the platform.
Weather-Data-Analysis
The project involves comprehensive analysis of a weather dataset to uncover trends, correlations, and insights, facilitating informed decision-making in various sectors reliant on meteorological data.
Wiki-Scraper
This Streamlit app enables users to input a Wikipedia page URL for content, summary, images, references, top 10 words, and sentiment analysis, presenting concise insights with visual elements.