Welcome to the Python for Data Science Projects section! Here, you'll find a collection of projects that will help you apply your Python skills to real-world data science problems. Whether you're a beginner or an experienced data scientist, these projects are designed to enhance your learning and practical skills.
Project List
- Project 1: Sentiment Analysis on Twitter Data
- Project 2: Customer Segmentation Analysis
- Project 3: Stock Price Prediction
- Project 4: Movie Recommendation System
- Project 5: Natural Language Processing with Text Classification
Project 1: Sentiment Analysis on Twitter Data
In this project, you will learn how to perform sentiment analysis on Twitter data using Python. You will collect tweets, preprocess the data, and use machine learning models to classify the sentiment of each tweet.
Project 2: Customer Segmentation Analysis
This project focuses on customer segmentation using clustering techniques. You will work with a dataset containing customer information and use Python to segment customers into different groups based on their buying patterns.
Project 3: Stock Price Prediction
In this project, you will build a predictive model to forecast stock prices using historical data. You will learn how to preprocess data, select features, and train machine learning models for time series prediction.
Project 4: Movie Recommendation System
This project will introduce you to the concept of collaborative filtering in recommendation systems. You will build a movie recommendation system using Python and a dataset of user ratings.
Project 5: Natural Language Processing with Text Classification
In this project, you will delve into natural language processing (NLP) and text classification. You will learn how to preprocess text data, extract features, and train machine learning models for text classification tasks.