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AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Home Page: https://towardsai.net/editorial

License: Other

Python 12.39% Jupyter Notebook 87.61%

machine-learning data-science deep-learning neural-networks math nlp python programming python-tutorial tutorial

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ayoade1st van1991 delomynz alomdaelmasry krishnamurtyp babyjahnavi standardgalactic jkortis2121 nvamsimohan q-x-yang santoshik29 mehulsingh kaukana cannilsson plaban1981 prak112 student1304 ayushma00 shreyashiagarwal jawaechan sgatea animesh teddovanmierle giangnguyen36 rajesh16702 nasreenkhan laurenneal kaiseryang1224 vtmounica amulmgr pauldevos d3thomas verrah saniyaparveez detorrespa nguyenducnhaty przegali estkae yxie80 mespsar sumhncku itworldeducation er46dal fdoperezi febrel ttilton1 jickor nisheethjaiswal jackliaoall-forks-tutorials sabagolzari flamel05 zchaoking johnmwashuma maybeee18 jayaudaykmar26589 su1998 sethips surajitdb dthboyd rengaraj23 dev-py-r jonatapaulino liyuanbogithub abdul786060 claudionoronhafilho louis-del parinithag9 k-class shellylin100 nikdevadoss lionelpyae debaratisj promisinghan abhisek-ashirbad hemantpatar iceman011 ghazichemkhi linhduongtuan thanhtung48c anhnguyendepocen zlatnizmaj huynh-tr tljh-admin suja-k delowarsikder jamarc1 quantumu nishantsbi aleandroconte abdelrahmanragab38 kadjulio iankfc geomario curtisoneal coco-huu singharun7 lgs ruthnduta javedali99 lefatoum2

tutorials's Issues

KNN

Minor change to coinflip logic

The plt render should be moved back one indentation, since you're really only interested in the final result and it saves you 5000 unnecessary renders

def monte_carlo(n):
results = 0
for i in range(n):
flip_result = coin_flip()
results = results + flip_result

	prob_value = results/(i+1)

	list1.append(prob_value)

plt.axhline(y=0.5, color ='r', linestyle='-')
plt.xlabel("Iterations")
plt.ylabel("Probability")
plt.plot(list1)

return results/n

Minor logic error in recommendation_system_tutorial/recommendation_system_tutorial_netflix.py

This line :
top_similar_user_ratings.extend([global_avg_rating[movie]] * (5 - len(ratings)))
should be
top_similar_user_ratings.extend([global_avg_rating[movie]] * (5 - len(top_similar_user_ratings)))

Because len(ratings) is a const large value here which is not right.

https://github.com/towardsai/tutorials/blob/master/recommendation_system_tutorial/recommendation_system_tutorial_netflix.py#L174

towardsai / tutorials Goto Github PK

tutorials's People

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tutorials's Issues

KNN

Minor change to coinflip logic

Minor logic error in recommendation_system_tutorial/recommendation_system_tutorial_netflix.py

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