Business Challenge: Motion Studio is the largest radio production company in Europe. With over $1 billion in revenue, the company has decided to launch a new reality show called RJ Star . The response to the show has been unprecedented and the company is flooded with voice clips. The ML expert needs to classify the voices as male/female so that the first level of filtering can be done faster.
Business Advantages: Since it is an RJ Star reality show, the time to select the candidates is very short. The overall success of the show and hence the revenue depends on its quick and smooth execution.
import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns % matplotlib inline import warnings warnings.filterwarnings
sklearn.preprocessing에서 import LabelEncodgender_encoder.fit_transform (y) y sklearn.preprocessing에서 import StandardScaler sklearn.model_selection의 scaler.transform (X) sri lanka phone number material import traist_size = 0.3, random_state = 100) from sklearn.svm import SVC from sklearn.metrics import metrics from sklearn.metrics import classification_report , confusion_matrix svc_model =model.fit (X_train, y_train) y_pred = svc_model.predict (X_test) pr :') print (metrics.accuracy_score (y_test, y_pred)) 인쇄 (confusion_matrix (y_test,
Domain: Automotive
Focus: Driver Incentives
Business Challenge: Lithionpower is the largest supplier of electric vehicle (e-vehicle) batteries. Drivers typically rent batteries for a day and then swap them out for batteries that the company charges. Lithionpower has a variable pricing model based on the driver’s driving history. Since battery life varies based on factors such as speeding, daily mileage, etc.
Key issue Voice samples span accents
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