saurabyte Goto Github PK

data-evaluation_projects

data_projects

excel-project_terro-s-real-estate-agency

Objective: The objective of this project is to analyze housing prices in a particular locality and identify the factors that significantly influence these prices. By utilizing regression analysis techniques, the project aims to build predictive models to understand how different variables contribute to variations in housing prices.

glca-project

internship

mysql_project-car_dekho

The project involves analyzing car data from 2015 to 2023. Tasks include total count, 2023 predictions, cars in 2020-2022, fuel type breakdown, identifying years with over 100 cars, and listing car details in 2015-2023. This aids decision-making for managers, employees, and clients in the automotive sector.

python-project_data_visualization_on_honeydataset

This Python project analyzes honey production data, exploring trends and relationships. Tasks include data exploration, percentage distribution by year, price per lb distribution, 'numcol' and 'prodvalue' relationship, 'year' vs. 'prodvalue' boxplots, pairplot analysis, and correlation visualization.

python-project_detecting-fake-instagram-accounts

Using Python, we detect fake Instagram accounts via EDA, data cleaning, and logistic regression. Analyzing user engagement helps classify genuine from deceptive activity, contributing to platform integrity

python-project_eda_youtube_dataset

Analyze YouTube video metrics with Python. Load, clean, and visualize data using Pandas, Matplotlib, and Seaborn. Explore trends, correlations, and top performers. Contribute to open-source development. License: MIT. Python 3.x required. Easy setup with provided documentation.

python-project_google_playstore

Python script preprocesses mobile app dataset: handles duplicates, missing values, outliers; converts data types; encodes categorical features; splits data for modeling; standardizes values. Ready for analysis.

python-project_ipl_analysis

This Python script analyzes IPL data, exploring player performances, match outcomes, and venue statistics. Visualizations include histograms, bar plots, and pie charts for insights into trends and patterns in the league.

saurabh-data-portfolio.github.io

saurabh689

Config files for my GitHub profile.

sql_files

A collection of SQL files