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Learn ML engineering for free in 4 months!

Jupyter Notebook 99.49% Dockerfile 0.05% Python 0.46%

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andyglick yawus nesreensada rachitvargas coursewarefactory maybeee18 wtanksleyjr kentparker3 viartemev atalovs siham2019 ravikumarsahu abhijitk2015 happyman11 mitrofanovdmitry itsshaikaslam gachet praveenbhati4u myausweis anushka-ds anuragsomani1611 aditya-zutshi gtkovacheff millsgt maheshpeiris0 sid515 dinakarkbn mdrkb mideoludoyi wwymak arvgarg rameshkoppad aninda2020 nindate archie17 juanmonjeh godolatunji srini047 simran-barnwal kunalarora semanurkps asatiiiiaastha kiran-97 onenamesam coffee-93 athkt lethu360 mabail6 rashkam01 ankushkhanna diogoalves souleimaw bhagwat1210 paulpanggabean mark78b laraschmitt harshraj574 mohammedtoumi007 guldenizbektas gulldan aterterian mox301 bizancio3 soulclimberchick azriel-stephen elnemesisdivina wtannergildea kelvin-arellano sriji1212 cabetico swayaminsync carlos9917 shandapangoda maras13 zamoraandres anti-batman idilismail sanghvirajit sam-tracey mo9tafa occultism maldabba roixroi 321hg andri296 zoid-anurag leilaranjbar82 lina-haidar a3sha2 vortexash ashishpatel26 pankajmehar sudipkrk abdullahmohammadkhan krishnamanoj-kota tokurgit harry-data-g samer-allan hash167 merveersahin

machine-learning-zoomcamp's Issues

Heart Attack Analysis

I want to performed in-depth Exploratory Data Analysis and 5-6 Algoritrhm.
Dataset: https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset

Assign me this issue under Hacktoberfest'21.

Timecodes for "ML Zoomcamp 11.5 - Serving TensorFlow Models with KServe"

Youtube video: https://www.youtube.com/watch?v=iXwQb2LRKGI

Timecodes for "ML Zoomcamp 10.3 - Creating a Pre-Processing Service"

Youtube video: https://www.youtube.com/watch?v=OIlrS14Zi0o

Timecodes for "ML Zoomcamp 8.10 - Data Augmentation"

Youtube video: https://www.youtube.com/watch?v=aoPfVsS3BDE

Timecodes for "ML Zoomcamp 10.2 - TensorFlow Serving"

Youtube video: https://www.youtube.com/watch?v=deXR2fThYDw

Timecodes for "ML Zoomcamp 10.5 - Introduction to Kubernetes"

Youtube video: https://www.youtube.com/watch?v=UjVkpszDzgk

Timecodes for "ML Zoomcamp 11.2 - Running KServe Locally"

Youtube video: https://www.youtube.com/watch?v=A3tFt14iTEI

Timecodes for "ML Zoomcamp 9.6 - Creating the Lambda Function"

Youtube video: https://www.youtube.com/watch?v=kBch5oD5BkY

Timecodes for "ML Zoomcamp 11.1 - Overview"

Youtube video: https://www.youtube.com/watch?v=CFWK05dQoGM

Timecodes for "ML Zoomcamp 9.5 - Preparing a Docker Image"

Youtube video: https://www.youtube.com/watch?v=y4_YQjfOsDo

Timecodes for "ML Zoomcamp 9.7 - API Gateway: Exposing the Lambda Function"

Youtube video: https://www.youtube.com/watch?v=wyZ9aqQOXvs

Timecodes for "ML Zoomcamp 8.12 - Using the Model"

Youtube video: https://www.youtube.com/watch?v=cM1WHKae1wo

Timecodes for "ML Zoomcamp 11.7 - Deploying with KServe and EKS"

Youtube video: https://www.youtube.com/watch?v=MpuTzBSYBBI

Timecodes for "ML Zoomcamp 10.9 - Summary"

Youtube video: https://www.youtube.com/watch?v=J5LMRTIu4jY

Timecodes for "ML Zoomcamp 9.1 - Introduction to Serverless"

Youtube video: https://www.youtube.com/watch?v=JLIVwIsU6RA

MLZoomcamp: Homework number 5 saved model is corrupted!

Hi Alexey
First of all thanks for your perfect book and course.
In homework 5 After downloading the model, when using opening the saved model in mlbookcamp-code/course-zoomcamp/05-deployment/homework.md, Pickle would give an error for it.

The code:

import pickle
from sklearn.linear_model import LogisticRegression

with open('model1.bin') as f_in2:
    model = pickle.load(f_in2)
f_in.close()

And the error is:

---------------------------------------------------------------------------
UnicodeDecodeError                        Traceback (most recent call last)
<ipython-input-14-07c351648b22> in <module>
      1 with open('model1.bin') as f_in2:
----> 2     model = pickle.load(f_in2)
      3 f_in.close()

c:\users\amin\appdata\local\programs\python\python38\lib\encodings\cp1252.py in decode(self, input, final)
     21 class IncrementalDecoder(codecs.IncrementalDecoder):
     22     def decode(self, input, final=False):
---> 23         return codecs.charmap_decode(input,self.errors,decoding_table)[0]
     24 
     25 class StreamWriter(Codec,codecs.StreamWriter):

UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 68: character maps to <undefined>

Note that saved Dictvectorizer was ok when opening with pickle, but the model have the issue above.

Thanks, Mohammad Amin Dadgar