Machine Learning Tutorials

 Install anaconda https://www.anaconda.com/

Open the terminal:

Hoomans-Mac-mini:~ hoomansalamat$ mkdir ML

Hoomans-Mac-mini:~ hoomansalamat$ cd ML

Hoomans-Mac-mini:ML hoomansalamat$ jupyter notebook

Download Video Game Sales from https://www.kaggle.com/gregorut/videogamesales and unzip to ML directory

###############Import CSV file#################

import pandas as pd

df = pd.read_csv('vgsales.csv')

df.shape

df.describe()

df.values

###############Predict#################

Create a music.csv file:

age gender genre

20 1 HipHop

23 1 HipHop

25 1 HipHop

26 1 Jazz

29 1 Jazz

30 1 Jazz

31 1 Classical

33 1 Classical

37 1 Classical

20 0 Dance

21 0 Dance

25 0 Dance

26 0 Acoustic

27 0 Acoustic

30 0 Acoustic

31 0 Classical

34 0 Classical

35 0 Classical

Let's create a model that predicts a music genre based on age and gender of people. 

import pandas as pd

from sklearn.tree import DecisionTreeClassifier

music_data = pd.read_csv('music.csv')

#music_data

X=music_data.drop(columns=['genre'])

#X

y = music_data['genre']

#y

model = DecisionTreeClassifier()

model.fit(X,y)

predictions = model.predict([[21,1], [22,0]])

predictions