Mood based songs Recommender System
- Read dataset - Read triplet file - Combine dataset and triplet file - Then dataset analysis - Wordcloud of title column - Wordcloud of release column - Wordcloud of artist name column - Graph for moods analysis in dataset - Created 4 dataframes of happy, sad, angry and peaceful - Assigned make cluster of all songs with their mood happy, sad, angry and peaceful - Mood analysis - Wordcloud Sad Mood cluster of title - Trainig of million songs dataset - testing of Million songs dataset - Trained model with recommender of mood
Thanks for being here on my profile! ✅ I have 8+ years of experience. I want to serve you with my skills and I am sure you will be satisfied. I have been working on the following projects: ✅ Classification ✅ Regression ✅ Clustering ✅ Dimensionality Reduction ✅ Prediction ✅ Recognition ✅ Time Series Forecasting ✅ Recommender Systems ✅ Sentiment Analysis ✅ NLP(Natural Language Processing) ✅ Big Data Visualisation ✅ Data Mining ✅ Data Analysis ✅ Data warehousing ✅ Data Modelling ✅ So on. . . I would like to work for all kinds of Deep Learning/Machine Learning/Artificial Intelligence/Data Science projects. ✅ Note: I have a 24/7 running team for Website Development, Data Entry, Logo Design and other work-related.