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Udemy MLOps Real World Machine Learning Projects for Professi

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Similar Posts:

Name	Uploaded	Size	Se	Le	Upl. by
Udemy MLOps Certification Pipeline basics to MLOps Toolbox	2023-10-23	1.0 GB	0	4	freecoursewb
Udemy MLOps Simplified	2023-10-22	570.7 MB	8	3	freecoursewb
Udemy MLOps Real World Machine Learning Projects for Professi	2025-05-01	2.6 GB	4	3	freecoursewb
Udemy ML Ops Beginner	2023-10-23	1.9 GB	0	3	freecoursewb
Udemy The Complete Mlops Product Design Ai Architecture Essen	2025-02-21	380.2 MB	30	21	freecoursewb

Uploader:

freecoursewb

Source:

1337x

Downloads:

17

Type:

Tutorials

Language:

English

Category:

Other

Size:

2.6 GB

Added:

May 1, 2025, 8:22 a.m.

Peers:

Seeders: 4, Leechers: 3 (Last updated: 11 months, 2 weeks ago)

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Files:

Get Bonus Downloads Here.url 183 bytes
1 -Project Planning & Introduction.mp4 350.9 MB
1 -Data Collection.mp4 29.5 MB
2 -1_Preprocessing_&_EDA.ipynb 2.4 MB
2 -Data Preprocessing & EDA.mp4 363.1 MB
1 -Setup MLFlow Server on AWS.mp4 281.0 MB
LICENSE 1.0 KB
README.md 1.3 KB
argv_exp.py 152 bytes
example.py 3.4 KB
gitignore 3.0 KB
requirements.txt 19 bytes
1 -2_experiment_1_baseline_model.ipynb 111.4 KB
1 -Building Baseline Model.mp4 169.8 MB
2 -3_experiment_2_bow_tfidf.ipynb 30.5 KB
2 -Improving Baseline Model - BOW, TFIDF.mp4 151.4 MB
3 -4_experiment_3_tfidf_(1,3)_max_features.ipynb 33.0 KB
3 -Improving Baseline Model - Max features.mp4 104.7 MB
4 -5_experiment_4_handling_imbalanced_data.ipynb 36.1 KB
4 -Improving Baseline Model - Handling Imbalanced data.mp4 101.7 MB
5 -6_experiment_5_xgboost_with_hpt.ipynb 48.4 KB
5 -7_experiment_6_lightgbm_detailed_hpt.ipynb 9.7 MB
5 -Improving Baseline Model - Hyperparameter tuning with Multiple Model.mp4 92.4 MB
6 -8_stacking.ipynb 91.4 KB
6 -Improving Baseline Model - Stacking Models.mp4 35.5 MB
1 -Building ML Pipeline using DVC.mp4 23.0 MB
2 -Data Ingestion Component.mp4 69.5 MB
3 -Data Preprocessing Component.mp4 28.1 MB
4 -Model Building Component.mp4 54.4 MB
5 -Model Evaluation Component with MLFlow.mp4 89.2 MB
6 -Model Register Component with MLFlow.mp4 29.3 MB
Dockerfile 127 bytes
LICENSE 1.1 KB
README.md 1.9 KB
app.py 11.3 KB
confusion_matrix_Test Data.png 21.1 KB
test_processed.csv 977.1 KB
train_processed.csv 3.9 MB
test.csv 1.3 MB
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1_Preprocessing_&_EDA.ipynb 2.4 MB
2_experiment_1_baseline_model.ipynb 111.4 KB
3_experiment_2_bow_tfidf.ipynb 30.5 KB
4_experiment_3_tfidf_(1,3)_max_features.ipynb 33.0 KB
5_experiment_4_handling_imbalanced_data.ipynb 36.1 KB
6_experiment_5_xgboost_with_hpt.ipynb 48.4 KB
7_experiment_6_lightgbm_detailed_hpt.ipynb 9.7 MB
8_stacking.ipynb 91.4 KB
reddit_preprocessing.csv 4.9 MB
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tfidf_vectorizer.pkl 36.0 KB
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SOURCES.txt 166 bytes
dependency_links.txt 1 byte
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manifest.json 339 bytes
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1 -Flask API Implementation.mp4 103.9 MB
2 -Implementation of Chrome Plugin.mp4 127.0 MB
1 -Adding Docker.mp4 17.6 MB
2 -Deployment on AWS.mp4 316.4 MB
Dockerfile 127 bytes
LICENSE 1.1 KB
README.md 1.9 KB
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setup.py 228 bytes
__init__.py 0 bytes
data_ingestion.py 4.1 KB
data_preprocessing.py 3.6 KB
model_building.py 5.3 KB
model_evaluation.py 7.0 KB
register_model.py 2.4 KB
tfidf_vectorizer.pkl 36.0 KB
PKG-INFO 128 bytes
SOURCES.txt 166 bytes
dependency_links.txt 1 byte
top_level.txt 4 bytes
manifest.json 339 bytes
popup.html 1.6 KB
popup.js 9.8 KB
Bonus Resources.txt 70 bytes

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