Netflix Stock Price Prediction with Python and Machine Learning (2023)

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Description:

• In this project, I use Python and a machine learning technique called linear regression to predict the future prices of Netflix stocks.
• My goal was to guess where stock prices might go based on what happened in the past.
• To do this, I gather historical data from a platform called Kaggle. I then clean and organize this data so that it's ready for my model to use. Think of it like getting all the puzzle pieces in the right order before solving the puzzle.
• I rely on data and algorithms to make informed predictions. This can help investors and analysts to make smarter decisions when it comes to buying or selling Netflix stocks.

Toolkit:

1. Python: Our primary programming language for data analysis, machine learning.
2. Linear Regression Algorithm: The key machine learning technique used to predict stock prices based on historical data.
3. Kaggle: The platform from which we collect historical stock market data for our analysis.
4. Data Preprocessing: A set of data cleaning and transformation techniques to make the data suitable for our model.
5. Machine Learning Model: The heart of our project, which applies algorithms to historical data to make predictions about future stock prices.