Netflix_Stock_Analysis

Project Description

This repository contains a Jupyter notebook that analyzes Netflix stock data using various data science techniques. The notebook includes data loading, preprocessing, exploratory data analysis (EDA), and visualization.

Files

• netflix.ipynb: Jupyter notebook containing the analysis and visualizations.
• NFLX.csv: CSV file containing the Netflix stock data.

Dataset Description

The dataset used in this project is the Netflix stock data, which includes information such as date, open, high, low, close, adjusted close, and volume.

Implementation Details

netflix.ipynb

This Jupyter Notebook performs an in-depth analysis of Netflix stock data. The notebook includes data loading, exploratory data analysis (EDA), and various visualizations to understand stock performance over time.

Key Features:

• Data Loading: Loading Netflix stock data using pandas.
• Exploratory Data Analysis (EDA): Visualizing the stock data to understand trends and patterns.
• Visualization: Creating various plots to analyze stock performance.