Skip to content

This repository consists of Data Camp Projects of Data Visualisation, Machine Learning, Importing and Cleaning Data, Case Studies, Probability and Statistics and much more!!

Notifications You must be signed in to change notification settings

sakshigupta06/Project-Data-Camp

Repository files navigation

Project-Data-Camp

This repository consists of Data Camp Projects of Data Visualisation, Machine Learning, Importing and Cleaning Data, Case Studies, Probability and Statistics and much more!!

Active Project(I'll be adding more projects soon).

1.Introduction to Data Camp Project:

I learned to use Jupyter Notebook.

2.Project 1

Classify Song Genres from Audio Data :

Using a dataset comprised of songs of two music genres (Hip-Hop and Rock), I trained a classifier to distinguish between the two genres based only on track information derived from Echonest (now part of Spotify). I first made use of pandas and seaborn packages in Python for subsetting the data, aggregating information, and creating plots when exploring the data for obvious trends or factors you should be aware of when doing machine learning. Next,I used the scikit-learn package to predict whether you can correctly classify a song's genre based on features such as danceability, energy, acousticness, tempo, etc. I used common algorithms such as PCA, logistic regression, decision trees, and so forth.

About

This repository consists of Data Camp Projects of Data Visualisation, Machine Learning, Importing and Cleaning Data, Case Studies, Probability and Statistics and much more!!

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published