My First AI Project | Customer Review Analysis Step-by-Step explained скачать в хорошем качестве

My First AI Project | Customer Review Analysis Step-by-Step explained

In this video, I am presenting my first machine learning project titled “Customer Review Analyze System.” This project is based on Sentiment Analysis, where customer reviews are analyzed and classified as Positive or Negative using Python and Machine Learning techniques. In this complete step-by-step explanation, I have covered: Importing required Python libraries Loading and understanding the dataset Cleaning and preprocessing text data Converting text into numerical format using CountVectorizer Splitting the dataset into training and testing sets Training the Logistic Regression model Making predictions on customer reviews Evaluating model performance using accuracy score This project helped me understand how Natural Language Processing (NLP) works in real-world applications and how machine learning models can be used to analyze customer feedback automatically. If you are a beginner in Python, Machine Learning, or Data Science, this video will help you understand sentiment analysis in a simple and clear way. ✨ Tools & Technologies Used: Python, Pandas, NumPy, NLTK, Scikit-learn, Logistic Regression Thank you for watching. Don’t forget to like, share, and subscribe for more project-based learning videos. #MachineLearning #SentimentAnalysis #PythonProject #DataScience #NLP #BeginnerProject #CustomerReviewAnalysis