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Commit
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·
1 Parent(s): fbb8a97

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Files changed (5) hide show
  1. 02_cap.ipynb +0 -0
  2. Final_model.joblib +3 -0
  3. capstone.py +97 -0
  4. preprocessor.joblib +3 -0
  5. requirements.txt +454 -0
02_cap.ipynb ADDED
The diff for this file is too large to render. See raw diff
 
Final_model.joblib ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:6d76e5eb2277cb07b6faa1e6c40f29d496e9f33fa26ed423863fc1f690c1171f
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+ size 1119
capstone.py ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #import modules
2
+ import numpy as np
3
+ import gradio as gr
4
+ import joblib
5
+ import pandas as pd
6
+ import os
7
+
8
+
9
+ def load_model():
10
+ cwd = os.getcwd()
11
+
12
+ destination = os.path.join(cwd, "saved cap")
13
+
14
+ Final_model_file_path = os.path.join(destination, "Final_model.joblib")
15
+ preprocessor_file_path = os.path.join(destination, "preprocessor.joblib")
16
+
17
+
18
+ Final_model = joblib.load(Final_model_file_path)
19
+ preprocessor = joblib.load(preprocessor_file_path)
20
+
21
+
22
+ return Final_model, preprocessor
23
+
24
+ Final_model, preprocessor = load_model()
25
+
26
+
27
+ #define prediction function
28
+ def make_prediction(REGION, TENURE, MONTANT, FREQUENCE_RECH, REVENUE, ARPU_SEGMENT, FREQUENCE, DATA_VOLUME, ON_NET, ORANGE, TIGO, ZONE1, ZONE2,MRG, REGULARITY, FREQ_TOP_PACK):
29
+ #make a dataframe from input data
30
+ input_data = pd.DataFrame({'REGION':[REGION],
31
+ 'TENURE':[TENURE],
32
+ 'MONTANT':[MONTANT],
33
+ 'FREQUENCE_RECH':[FREQUENCE_RECH],
34
+ 'REVENUE':[REVENUE],
35
+ 'ARPU_SEGMENT':[ARPU_SEGMENT],
36
+ 'FREQUENCE':[FREQUENCE],
37
+ 'DATA_VOLUME':[DATA_VOLUME],
38
+ 'ON_NET':[ON_NET],
39
+ 'ORANGE':[ORANGE],
40
+ 'TIGO':[TIGO],
41
+ 'ZONE1':[ZONE1],
42
+ 'ZONE2':[ZONE2],
43
+ 'MRG':[MRG],
44
+ 'REGULARITY':[REGULARITY],
45
+ 'FREQ_TOP_PACK':[FREQ_TOP_PACK]})
46
+
47
+ transformer = preprocessor.transform(input_data)
48
+
49
+ predt = Final_model.predict(transformer)
50
+ #return prediction
51
+ if predt[0]==1:
52
+ return "Customer will Churn"
53
+ return "Customer will not Churn"
54
+
55
+
56
+ #create the input components for gradio
57
+ REGION = gr.inputs.Dropdown(choices =['DAKAR', 'THIES', 'SAINT-LOUIS', 'LOUGA', 'KAOLACK', 'DIOURBEL', 'TAMBACOUNDA' 'KAFFRINE,KOLDA', 'FATICK', 'MATAM', 'ZIGUINCHOR', 'SEDHIOU', 'KEDOUGOU'])
58
+ TENURE = gr.inputs.Dropdown(choices =['K > 24 month', 'I 18-21 month', 'H 15-18 month', 'G 12-15 month', 'J 21-24 month', 'F 9-12 month', 'E 6-9 month', 'D 3-6 month'])
59
+ MONTANT = gr.inputs.Number()
60
+ FREQUENCE_RECH = gr.Number()
61
+ REVENUE = gr.Number()
62
+ ARPU_SEGMENT = gr.Number()
63
+ FREQUENCE = gr.Number()
64
+ DATA_VOLUME = gr.Number()
65
+ ON_NET = gr.Number()
66
+ ORANGE = gr.Number()
67
+ TIGO = gr.Number()
68
+ ZONE1 = gr.Number()
69
+ ZONE2 = gr.Number()
70
+ MRG = gr.inputs.Dropdown(choices =['NO'])
71
+ REGULARITY = gr.Number()
72
+ FREQ_TOP_PACK = gr.Number()
73
+
74
+ output = gr.Textbox(label='Prediction')
75
+ #create the interface component
76
+
77
+ app = gr.Interface(fn =make_prediction,inputs =[REGION,
78
+ TENURE,
79
+ MONTANT,
80
+ FREQUENCE_RECH,
81
+ REVENUE,
82
+ ARPU_SEGMENT,
83
+ FREQUENCE,
84
+ DATA_VOLUME,
85
+ ON_NET,
86
+ ORANGE,
87
+ TIGO,
88
+ ZONE1,
89
+ ZONE2,
90
+ MRG,
91
+ REGULARITY,
92
+ FREQ_TOP_PACK],
93
+ title ="Customer Churn Predictor",
94
+ description="Enter the feilds Below and click the submit button to Make Your Prediction",
95
+ outputs = output)
96
+
97
+ app.launch(share = True, debug = True)
preprocessor.joblib ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5cb13536b3299f65ac185dbcf617d8d8ea65c669d452669245675c75798c0a05
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+ size 5424
requirements.txt ADDED
@@ -0,0 +1,454 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ absl-py==1.4.0
2
+ aiohttp==3.8.5
3
+ aiosignal==1.3.1
4
+ alabaster==0.7.13
5
+ albumentations==1.3.1
6
+ altair==4.2.2
7
+ anyio==3.7.1
8
+ appdirs==1.4.4
9
+ argon2-cffi==23.1.0
10
+ argon2-cffi-bindings==21.2.0
11
+ array-record==0.4.1
12
+ arviz==0.15.1
13
+ astropy==5.3.2
14
+ astunparse==1.6.3
15
+ async-timeout==4.0.3
16
+ attrs==23.1.0
17
+ audioread==3.0.0
18
+ autograd==1.6.2
19
+ Babel==2.12.1
20
+ backcall==0.2.0
21
+ beautifulsoup4==4.11.2
22
+ bleach==6.0.0
23
+ blinker==1.4
24
+ blis==0.7.10
25
+ blosc2==2.0.0
26
+ bokeh==3.2.2
27
+ bqplot==0.12.40
28
+ branca==0.6.0
29
+ build==1.0.3
30
+ CacheControl==0.13.1
31
+ cachetools==5.3.1
32
+ catalogue==2.0.9
33
+ certifi==2023.7.22
34
+ cffi==1.15.1
35
+ chardet==5.2.0
36
+ charset-normalizer==3.2.0
37
+ chex==0.1.7
38
+ click==8.1.7
39
+ click-plugins==1.1.1
40
+ cligj==0.7.2
41
+ cloudpickle==2.2.1
42
+ cmake==3.27.4.1
43
+ cmdstanpy==1.1.0
44
+ colorcet==3.0.1
45
+ colorlover==0.3.0
46
+ colour==0.1.5
47
+ community==1.0.0b1
48
+ confection==0.1.2
49
+ cons==0.4.6
50
+ contextlib2==21.6.0
51
+ contourpy==1.1.0
52
+ convertdate==2.4.0
53
+ cryptography==41.0.3
54
+ cufflinks==0.17.3
55
+ cupy-cuda11x==11.0.0
56
+ cvxopt==1.3.2
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+ cvxpy==1.3.2
58
+ cycler==0.11.0
59
+ cymem==2.0.7
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+ Cython==0.29.36
61
+ dask==2023.8.1
62
+ datascience==0.17.6
63
+ db-dtypes==1.1.1
64
+ dbus-python==1.2.18
65
+ debugpy==1.6.6
66
+ decorator==4.4.2
67
+ defusedxml==0.7.1
68
+ distributed==2023.8.1
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+ distro==1.7.0
70
+ dlib==19.24.2
71
+ dm-tree==0.1.8
72
+ docutils==0.18.1
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+ dopamine-rl==4.0.6
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+ duckdb==0.8.1
75
+ earthengine-api==0.1.367
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+ easydict==1.10
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+ ecos==2.0.12
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+ editdistance==0.6.2
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+ eerepr==0.0.4
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+ en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl#sha256=83276fc78a70045627144786b52e1f2728ad5e29e5e43916ec37ea9c26a11212
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+ entrypoints==0.4
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+ ephem==4.1.4
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+ et-xmlfile==1.1.0
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+ etils==1.4.1
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+ etuples==0.3.9
86
+ exceptiongroup==1.1.3
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+ fastai==2.7.12
88
+ fastcore==1.5.29
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+ fastdownload==0.0.7
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+ fastjsonschema==2.18.0
91
+ fastprogress==1.0.3
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+ fastrlock==0.8.2
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+ filelock==3.12.2
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+ Fiona==1.9.4.post1
95
+ firebase-admin==5.3.0
96
+ Flask==2.2.5
97
+ flatbuffers==23.5.26
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+ flax==0.7.2
99
+ folium==0.14.0
100
+ fonttools==4.42.1
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+ frozendict==2.3.8
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+ frozenlist==1.4.0
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+ fsspec==2023.6.0
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105
+ gast==0.4.0
106
+ gcsfs==2023.6.0
107
+ GDAL==3.4.3
108
+ gdown==4.6.6
109
+ geemap==0.26.0
110
+ gensim==4.3.2
111
+ geocoder==1.38.1
112
+ geographiclib==2.0
113
+ geopandas==0.13.2
114
+ geopy==2.3.0
115
+ gin-config==0.5.0
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+ glob2==0.7
117
+ google==2.0.3
118
+ google-api-core==2.11.1
119
+ google-api-python-client==2.84.0
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+ google-auth==2.17.3
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+ google-auth-httplib2==0.1.0
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+ google-auth-oauthlib==1.0.0
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+ google-cloud-bigquery==3.10.0
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+ google-cloud-bigquery-connection==1.12.1
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+ google-cloud-bigquery-storage==2.22.0
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+ google-cloud-core==2.3.3
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+ google-cloud-datastore==2.15.2
128
+ google-cloud-firestore==2.11.1
129
+ google-cloud-functions==1.13.2
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+ google-cloud-language==2.9.1
131
+ google-cloud-storage==2.8.0
132
+ google-cloud-translate==3.11.3
133
+ google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz#sha256=621978f287cd303f16d0c70a9f524b4308a95b2f740deea4e52f3dbea9af42d7
134
+ google-crc32c==1.5.0
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+ google-pasta==0.2.0
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+ google-resumable-media==2.5.0
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+ googleapis-common-protos==1.60.0
138
+ googledrivedownloader==0.4
139
+ graphviz==0.20.1
140
+ greenlet==2.0.2
141
+ grpc-google-iam-v1==0.12.6
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+ grpcio==1.57.0
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+ grpcio-status==1.48.2
144
+ gspread==3.4.2
145
+ gspread-dataframe==3.3.1
146
+ gym==0.25.2
147
+ gym-notices==0.0.8
148
+ h5netcdf==1.2.0
149
+ h5py==3.9.0
150
+ holidays==0.32
151
+ holoviews==1.17.1
152
+ html5lib==1.1
153
+ httpimport==1.3.1
154
+ httplib2==0.22.0
155
+ humanize==4.7.0
156
+ hyperopt==0.2.7
157
+ idna==3.4
158
+ imageio==2.31.3
159
+ imageio-ffmpeg==0.4.8
160
+ imagesize==1.4.1
161
+ imbalanced-learn==0.10.1
162
+ imgaug==0.4.0
163
+ importlib-metadata==6.8.0
164
+ importlib-resources==6.0.1
165
+ imutils==0.5.4
166
+ inflect==7.0.0
167
+ iniconfig==2.0.0
168
+ intel-openmp==2023.2.0
169
+ ipyevents==2.0.2
170
+ ipyfilechooser==0.6.0
171
+ ipykernel==5.5.6
172
+ ipyleaflet==0.17.3
173
+ ipython==7.34.0
174
+ ipython-genutils==0.2.0
175
+ ipython-sql==0.5.0
176
+ ipytree==0.2.2
177
+ ipywidgets==7.7.1
178
+ itsdangerous==2.1.2
179
+ jax==0.4.14
180
+ jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.4.14+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl#sha256=09c439923a785df517e3f470158dd3e46de454a01eca80935eed4ba383b5e90a
181
+ jeepney==0.7.1
182
+ jieba==0.42.1
183
+ Jinja2==3.1.2
184
+ joblib==1.3.2
185
+ jsonpickle==3.0.2
186
+ jsonschema==4.19.0
187
+ jsonschema-specifications==2023.7.1
188
+ jupyter-client==6.1.12
189
+ jupyter-console==6.1.0
190
+ jupyter-server==1.24.0
191
+ jupyter_core==5.3.1
192
+ jupyterlab-pygments==0.2.2
193
+ jupyterlab-widgets==3.0.8
194
+ kaggle==1.5.16
195
+ keras==2.13.1
196
+ keyring==23.5.0
197
+ kiwisolver==1.4.5
198
+ langcodes==3.3.0
199
+ launchpadlib==1.10.16
200
+ lazr.restfulclient==0.14.4
201
+ lazr.uri==1.0.6
202
+ lazy_loader==0.3
203
+ libclang==16.0.6
204
+ librosa==0.10.1
205
+ lightgbm==4.0.0
206
+ linkify-it-py==2.0.2
207
+ lit==16.0.6
208
+ llvmlite==0.39.1
209
+ locket==1.0.0
210
+ logical-unification==0.4.6
211
+ LunarCalendar==0.0.9
212
+ lxml==4.9.3
213
+ Markdown==3.4.4
214
+ markdown-it-py==3.0.0
215
+ MarkupSafe==2.1.3
216
+ matplotlib==3.7.1
217
+ matplotlib-inline==0.1.6
218
+ matplotlib-venn==0.11.9
219
+ mdit-py-plugins==0.4.0
220
+ mdurl==0.1.2
221
+ miniKanren==1.0.3
222
+ missingno==0.5.2
223
+ mistune==0.8.4
224
+ mizani==0.9.3
225
+ mkl==2023.2.0
226
+ ml-dtypes==0.2.0
227
+ mlxtend==0.22.0
228
+ more-itertools==10.1.0
229
+ moviepy==1.0.3
230
+ mpmath==1.3.0
231
+ msgpack==1.0.5
232
+ multidict==6.0.4
233
+ multipledispatch==1.0.0
234
+ multitasking==0.0.11
235
+ murmurhash==1.0.9
236
+ music21==9.1.0
237
+ natsort==8.4.0
238
+ nbclassic==1.0.0
239
+ nbclient==0.8.0
240
+ nbconvert==6.5.4
241
+ nbformat==5.9.2
242
+ nest-asyncio==1.5.7
243
+ networkx==3.1
244
+ nibabel==4.0.2
245
+ nltk==3.8.1
246
+ notebook==6.5.5
247
+ notebook_shim==0.2.3
248
+ numba==0.56.4
249
+ numexpr==2.8.5
250
+ numpy==1.23.5
251
+ oauth2client==4.1.3
252
+ oauthlib==3.2.2
253
+ opencv-contrib-python==4.8.0.76
254
+ opencv-python==4.8.0.76
255
+ opencv-python-headless==4.8.0.76
256
+ openpyxl==3.1.2
257
+ opt-einsum==3.3.0
258
+ optax==0.1.7
259
+ orbax-checkpoint==0.3.5
260
+ osqp==0.6.2.post8
261
+ packaging==23.1
262
+ pandas==1.5.3
263
+ pandas-datareader==0.10.0
264
+ pandas-gbq==0.17.9
265
+ pandocfilters==1.5.0
266
+ panel==1.2.2
267
+ param==1.13.0
268
+ parso==0.8.3
269
+ partd==1.4.0
270
+ pathlib==1.0.1
271
+ pathy==0.10.2
272
+ patsy==0.5.3
273
+ pexpect==4.8.0
274
+ pickleshare==0.7.5
275
+ Pillow==9.4.0
276
+ pip-tools==6.13.0
277
+ platformdirs==3.10.0
278
+ plotly==5.15.0
279
+ plotnine==0.12.3
280
+ pluggy==1.3.0
281
+ polars==0.17.3
282
+ pooch==1.7.0
283
+ portpicker==1.5.2
284
+ prefetch-generator==1.0.3
285
+ preshed==3.0.8
286
+ prettytable==3.8.0
287
+ proglog==0.1.10
288
+ progressbar2==4.2.0
289
+ prometheus-client==0.17.1
290
+ promise==2.3
291
+ prompt-toolkit==3.0.39
292
+ prophet==1.1.4
293
+ proto-plus==1.22.3
294
+ protobuf==3.20.3
295
+ psutil==5.9.5
296
+ psycopg2==2.9.7
297
+ ptyprocess==0.7.0
298
+ py-cpuinfo==9.0.0
299
+ py4j==0.10.9.7
300
+ pyarrow==9.0.0
301
+ pyasn1==0.5.0
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+ pyasn1-modules==0.3.0
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+ pycocotools==2.0.7
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305
+ pyct==0.5.0
306
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307
+ pydata-google-auth==1.8.2
308
+ pydot==1.4.2
309
+ pydot-ng==2.0.0
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+ pydotplus==2.0.2
311
+ PyDrive==1.3.1
312
+ PyDrive2==1.6.3
313
+ pyerfa==2.0.0.3
314
+ pygame==2.5.1
315
+ Pygments==2.16.1
316
+ PyGObject==3.42.1
317
+ PyJWT==2.3.0
318
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319
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320
+ pymystem3==0.2.0
321
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322
+ pyOpenSSL==23.2.0
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+ pyparsing==3.1.1
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+ pyperclip==1.8.2
325
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326
+ pyproject_hooks==1.0.0
327
+ pyshp==2.3.1
328
+ PySocks==1.7.1
329
+ pytensor==2.14.2
330
+ pytest==7.4.1
331
+ python-apt==0.0.0
332
+ python-box==7.1.1
333
+ python-dateutil==2.8.2
334
+ python-louvain==0.16
335
+ python-slugify==8.0.1
336
+ python-utils==3.7.0
337
+ pytz==2023.3.post1
338
+ pyviz_comms==3.0.0
339
+ PyWavelets==1.4.1
340
+ PyYAML==6.0.1
341
+ pyzmq==23.2.1
342
+ qdldl==0.1.7.post0
343
+ qudida==0.0.4
344
+ ratelim==0.1.6
345
+ referencing==0.30.2
346
+ regex==2023.6.3
347
+ requests==2.31.0
348
+ requests-oauthlib==1.3.1
349
+ requirements-parser==0.5.0
350
+ rich==13.5.2
351
+ rpds-py==0.10.2
352
+ rpy2==3.4.2
353
+ rsa==4.9
354
+ scikit-image==0.19.3
355
+ scikit-learn==1.2.2
356
+ scipy==1.10.1
357
+ scooby==0.7.2
358
+ scs==3.2.3
359
+ seaborn==0.12.2
360
+ SecretStorage==3.3.1
361
+ Send2Trash==1.8.2
362
+ shapely==2.0.1
363
+ six==1.16.0
364
+ sklearn-pandas==2.2.0
365
+ smart-open==6.3.0
366
+ sniffio==1.3.0
367
+ snowballstemmer==2.2.0
368
+ sortedcontainers==2.4.0
369
+ soundfile==0.12.1
370
+ soupsieve==2.5
371
+ soxr==0.3.6
372
+ spacy==3.6.1
373
+ spacy-legacy==3.0.12
374
+ spacy-loggers==1.0.4
375
+ Sphinx==5.0.2
376
+ sphinxcontrib-applehelp==1.0.7
377
+ sphinxcontrib-devhelp==1.0.5
378
+ sphinxcontrib-htmlhelp==2.0.4
379
+ sphinxcontrib-jsmath==1.0.1
380
+ sphinxcontrib-qthelp==1.0.6
381
+ sphinxcontrib-serializinghtml==1.1.9
382
+ SQLAlchemy==2.0.20
383
+ sqlparse==0.4.4
384
+ srsly==2.4.7
385
+ statsmodels==0.14.0
386
+ sympy==1.12
387
+ tables==3.8.0
388
+ tabulate==0.9.0
389
+ tbb==2021.10.0
390
+ tblib==2.0.0
391
+ tenacity==8.2.3
392
+ tensorboard==2.13.0
393
+ tensorboard-data-server==0.7.1
394
+ tensorflow==2.13.0
395
+ tensorflow-datasets==4.9.2
396
+ tensorflow-estimator==2.13.0
397
+ tensorflow-gcs-config==2.13.0
398
+ tensorflow-hub==0.14.0
399
+ tensorflow-io-gcs-filesystem==0.33.0
400
+ tensorflow-metadata==1.14.0
401
+ tensorflow-probability==0.20.1
402
+ tensorstore==0.1.41
403
+ termcolor==2.3.0
404
+ terminado==0.17.1
405
+ text-unidecode==1.3
406
+ textblob==0.17.1
407
+ tf-slim==1.1.0
408
+ thinc==8.1.12
409
+ threadpoolctl==3.2.0
410
+ tifffile==2023.8.30
411
+ tinycss2==1.2.1
412
+ toml==0.10.2
413
+ tomli==2.0.1
414
+ toolz==0.12.0
415
+ torch @ https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=a7a49d459bf4862f64f7bc1a68beccf8881c2fa9f3e0569608e16ba6f85ebf7b
416
+ torchaudio @ https://download.pytorch.org/whl/cu118/torchaudio-2.0.2%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=26692645ea061a005c57ec581a2d0425210ac6ba9f923edf11cc9b0ef3a111e9
417
+ torchdata==0.6.1
418
+ torchsummary==1.5.1
419
+ torchtext==0.15.2
420
+ torchvision @ https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=19ca4ab5d6179bbe53cff79df1a855ee6533c2861ddc7389f68349d8b9f8302a
421
+ tornado==6.3.2
422
+ tqdm==4.66.1
423
+ traitlets==5.7.1
424
+ traittypes==0.2.1
425
+ triton==2.0.0
426
+ tweepy==4.13.0
427
+ typer==0.9.0
428
+ types-setuptools==68.2.0.0
429
+ typing_extensions==4.5.0
430
+ tzlocal==5.0.1
431
+ uc-micro-py==1.0.2
432
+ uritemplate==4.1.1
433
+ urllib3==2.0.4
434
+ vega-datasets==0.9.0
435
+ wadllib==1.3.6
436
+ wasabi==1.1.2
437
+ wcwidth==0.2.6
438
+ webcolors==1.13
439
+ webencodings==0.5.1
440
+ websocket-client==1.6.2
441
+ Werkzeug==2.3.7
442
+ widgetsnbextension==3.6.5
443
+ wordcloud==1.9.2
444
+ wrapt==1.15.0
445
+ xarray==2023.7.0
446
+ xarray-einstats==0.6.0
447
+ xgboost==1.7.6
448
+ xlrd==2.0.1
449
+ xyzservices==2023.7.0
450
+ yarl==1.9.2
451
+ yellowbrick==1.5
452
+ yfinance==0.2.28
453
+ zict==3.0.0
454
+ zipp==3.16.2