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This project demonstrates Basic Linear Regression using Python. The notebook includes dataset loading, exploratory data analysis, model training, evaluation, and visualization of results.
This project involves analyzing a real-world dataset from Kaggle to explore the Accidents in US. Using Pandas and NumPy for data preparation and cleaning, followed by Matplotlib and Seaborn for visualization, key insights were regarding monthly yearly, and also area wise temporal patterns. The detailed analysis is documented in a Jupyter Notebook.
Pandas Mastry Notebook is a repository dedicated to exploring the capabilities of the pandas library for data manipulation, analysis, and visualization in Python. Dive into a variety of data operations, analytical techniques, and visualization methods to uncover insights from your datasets.
In this repository, I have saved my Python_Amazon_sales_analysis Notebook. To do this Amazon_sales_analysis, I have done end to end process. cleaned the dataset, Did EDA, ploted graph and reached to the conclusion.
This repository contains code for analyzing and predicting outcomes in the Indian Premier League (IPL) cricket matches from 2008 to 2022. It includes data analysis notebooks, a prediction model, and a Flask-based web application for interactive predictions. Explore historical match data, gain insights, and make predictions on upcoming matches .
Employed Jupyter Notebook and Python Pandas library to perform thorough dataset analysis, investigating racial representation, education-influenced income patterns, and various key statistics.
Using Python libraries in a Jupyter Notebook, this project explores Diwali sales data, revealing valuable insights: Buyer Dynamics: Females drive sales, showcasing higher purchasing power than males. Age Impact: The 26-35 age group, primarily females, contributes significantly.Marital Influence: Married women exhibit strong purchasing potential.
This repository contains the Jupyter notebooks and datasets for the Microsoft's Explore space with Python and Visual Studio Code; inspired by Netflix's Over the Moon.