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Category:
Language:
English
Total Size:
2.6 GB
Info Hash:
6072421399D4E8DAB286626C63C8099E57B86D03
Added By:
Added:
May 1, 2025, 8:22 a.m.
Stats:
|
(Last updated: May 1, 2025, 8:25 a.m.)
| File | Size |
|---|---|
| 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 |
| train.csv | 5.3 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 |
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| reddit_preprocessing.csv | 4.9 MB |
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| PKG-INFO | 128 bytes |
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| 1 -Flask API Implementation.mp4 | 103.9 MB |
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| 1 -Adding Docker.mp4 | 17.6 MB |
| 2 -Deployment on AWS.mp4 | 316.4 MB |
| Dockerfile | 127 bytes |
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| main | 41 bytes |
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| 3_experiment_2_bow_tfidf.ipynb | 30.5 KB |
| 4_experiment_3_tfidf_(1,3)_max_features.ipynb | 33.0 KB |
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| data_preprocessing.py | 3.6 KB |
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| model_evaluation.py | 7.0 KB |
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Name
DL
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Size
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570.7 MB
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2023-10-22
| Uploaded by freecoursewb | Size 570.7 MB | Health [ 8 /3 ] | Added 2023-10-22 |
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380.2 MB
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2025-02-21
| Uploaded by freecoursewb | Size 380.2 MB | Health [ 30 /21 ] | Added 2025-02-21 |
NOTE
SOURCE: Udemy MLOps Real World Machine Learning Projects for Professi
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