datasqlsantosh's repositories
-Project-Portfolio-Indian-accident-data-Analysis
This repository contains a data analysis project focused on Indian accident data. The analysis is performed using Power BI for visualization and SQL for data manipulation and querying.
Electric_Vechicle_Data_anlaysis
In this personal Electric Vehicle Data Analysis Portfolio project, an exploratory data analysis was performed on the Electric Vehicle Data available on Kaggle. The main aim of the project is to uncover insights into the Electric Vehicle Good and profits trends.
Global-Energy-Consumption-Renewable-Generation-python-data-analysis-portfolio
This project focuses on analyzing global energy consumption patterns and trends in renewable energy generation using Python data analysis libraries such as Seaborn and NumPy. The analysis aims to explore energy consumption data from various regions worldwide and examine the contribution of renewable energy sources over time
Gold-Price-Prediction-Portfolio
Welcome to my Gold Price Prediction Portfolio! This project focuses on predicting the future prices of gold using machine learning, particularly the Random Forest algorithm. The prediction model is implemented in a web application using Python Flask for backend development and HTML for the frontend.
Portfolio-Cars-data-analysis
This data analysis portfolio aims to analyze and visualize data related to cars to gain insights into various attributes such as specifications, features, and market trends. The analysis utilizes Python programming language, Google Colab environment for code execution, and an Excel sheet file containing the cars dataset.
Project-Portfolio-E-commerce-data-Analysis
In this personal Project-Portfolio-E-commerce-Data Analysis project, an exploratory data analysis was performed on the E-commerce Data available on Kaggle. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2018 to 2019.
Terrorist-attacks-data-analysis
This data analysis portfolio aims to analyze and visualize global terrorist attacks data to gain insights into trends, patterns, and factors associated with terrorist incidents worldwide.