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Creating a Music Classifier Using Machine Learning & Python
Building a classifier using Spotify API and KNN Everyone loves music, and loves to listen to multiple artists. Each artist is unique and interesting. But how unique, and how interesting? In this project, I set out to create a machine learning model that would be able to predict who the artist is. I first listed my favorite artists, then used the Spotify API to get song data from their top 10 songs, cleaned and preprocessed that data, and then used the K-Nearest Neighbor algor
5 min read
Multiple Classifier models for Telecommunication Customers
Load the dataset into a pandas dataframe and display the first 5 lines of the dataset along with the column headings. import numpy as np...
3 min read
Bank Customer Churn Prediction using Logisitic Regression
Data Dictionary There are multiple variables in the dataset: divided in 3 categories: Demographic information about customers customer_id...
9 min read
Telco customer churn
Predicting customer churn is crucial for telecommunication companies to be able to effectively retain customers. It is more costly to...
18 min read
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