Sasidharan's repositories
Spam_detector_E2E_Project
Developed a Spam/Email Detector utilizing TF-IDF and Bernoulli Naive Bayes (BNB). Leveraged TF-IDF for text representation and BNB for classification, ensuring efficient detection of spam emails based on their content.
Alexa_sentimental_analysis_Project
Alexa Sentiment Analysis interprets user emotions from their interactions with Amazon's virtual assistant. By analyzing speech patterns and language, it categorizes sentiments as positive, negative, or neutral. This enhances Alexa's responses, ensuring more personalized and effective interactions.
Mobile_price_prediction
Mobile price prediction involves utilizing machine learning algorithms and data analysis techniques to forecast the future prices of mobile phones accurately. This process typically involves gathering historical data on various factors influencing mobile phone prices, such as specifications, brand popularity, market trends, and economic indicators.