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| 1. Importing libraries and data.mp4 |
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| 1. Importing libraries and data.mp4 |
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| 1. Introduction.mp4 |
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| 1. Introduction -Language Translator App Using IBM Cloud Service -Deploy On Heroku.mp4 |
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| 1. Introduction -Plant Disease Prediction Streamlit App.mp4 |
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| 1. Introduction to Bird Species Prediction.mp4 |
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| 1. Introduction to dog breed prediction.mp4 |
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| 1. Introduction To Pan Card Tempering Detector.mp4 |
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| 1. Introduction to Sentiment Analysis.mp4 |
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| 1. Introduction to text extraction.mp4 |
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| 1. Introduction To The Course.mp4 |
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| 1. Introduction to the project.mp4 |
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| 1. Introduction to traffic sign classification.mp4 |
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| 1. Introduction - WhatsApp Text Analyzer -Deploy On Heroku.mp4 |
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| 1. Overview -Laptop Price Predictor -Deploy On Heroku.mp4 |
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| 1. Project Overview.mp4 |
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| 1. Project Overview.srt |
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| 10. Coding the UI Part 3.mp4 |
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| 10. Model Building Part-2.mp4 |
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| 10. Model Building Part-2.srt |
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| 10. Model Deployment on Azure Part 1.mp4 |
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| 10. Model Deployment on Azure Part 1.srt |
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| 10. Text Analytics Part 3.mp4 |
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| 11. Deployment Part 1 -Deploy On Microsoft Azure.mp4 |
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| 11. Model Building Part-3.mp4 |
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| 11. Model Deployment on Azure Part 2.mp4 |
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| 11. Text Analytics Part 4.mp4 |
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| 12. Deployment Part 2.mp4 |
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| 12. Model Building Part-4.mp4 |
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| 12. Text Analytics Part 5.mp4 |
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| 13. Model Building Part-5.mp4 |
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| 13. Text Analytics Part 6.mp4 |
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| 14. Deployment on Heroku Cloud.mp4 |
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| 14. Deployment on Heroku Cloud.srt |
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| 14. Integrating with UI.mp4 |
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| 14. Integrating with UI.srt |
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| 15. Deployment on Heroku.mp4 |
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| 2. Cleaning the data.mp4 |
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| 2. Coding Recommendation System.mp4 |
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| 2. Colab Notebook.mp4 |
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| 2. Course Outline Video.mp4 |
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| 2. Creating Colab Notebook.mp4 |
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| 2. Creating Project Notebook.mp4 |
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| 2. Creating The Face App.mp4 |
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| 2. data preprocessing.mp4 |
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| 2. Data Preprocessing.mp4 |
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| 2. EDA Part 1.mp4 |
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| 2. Fetching Data from Whatsapp.mp4 |
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| 2. Fetching Data from Whatsapp.srt |
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| 2. Importing and processing data.mp4 |
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| 2. Importing and processing data.srt |
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| 2. Importing libraries.mp4 |
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| 2. Importing libraries.srt |
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| 2. Importing libraries and data.mp4 |
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| 2. Importing Libraries And Data.mp4 |
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| 2. Importing Libraries And Data.srt |
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| 2. Importing libraries and DataSet.mp4 |
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| 2. Importing Libraries and Dataset.mp4 |
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| 2. Importing Libraries and DataSet.mp4 |
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| 2. Importing Libraries and Datasets.mp4 |
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| 2. Importing libraries and logo.mp4 |
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| 2. Importing Libraries and understanding data.mp4 |
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| 2. Importing Libraries and understanding data.srt |
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| 2. Importing the data and libraries.mp4 |
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| 2. Importing the data and libraries.mp4 |
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| 2. Importing the data and libraries.srt |
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| 2. Importing the data and libraries.srt |
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| 2. Introduction.mp4 |
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| 2. Introduction and handling the data.mp4 |
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| 2. Introduction and handling the data.srt |
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| 2. Introduction to libraries and dataset.mp4 |
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| 2. Introduction to libraries and dataset.srt |
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| 2. Loading libraries and dataset.mp4 |
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| 2. Loading libraries and dataset.srt |
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| 2. Machine Learning model building.mp4 |
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| 2. Model building part1.mp4 |
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| 2. Project Notebook.mp4 |
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| 2. Project Notebook Google Colab.mp4 |
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| 2. Setting Service.mp4 |
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| 2. Text normalization.mp4 |
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| 2. Text Processing Part1.mp4 |
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| 2. Understanding data.mp4 |
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| 4. Creating the app.mp4 |
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| 4. Creating The Face app.mp4 |
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| 4. Creating the Flask App.mp4 |
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| 4. Data Analysis2.mp4 |
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| 4. Data preprocessing.mp4 |
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| 4. Data Preprocessing 1.mp4 |
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| 4. Deploying App in heroku.mp4 |
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| 4. Deploying Django App.mp4 |
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| 4. Deploying Flask App.mp4 |
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| 4. Deploying The App.mp4 |
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| 4. Django Application.mp4 |
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| 4. EDA Part 2.mp4 |
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| 4. Exploratory Data Analysis.mp4 |
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| 4. Feature Engineering.mp4 |
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| 4. Feature Selection Part 1.mp4 |
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| 4. Implementing Django web application.mp4 |
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| 4. Model building.mp4 |
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| 4. Model Building using ML.mp4 |
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| 4. Modifying the extractor.mp4 |
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| 4. Setting up Watson Studio Part-2.mp4 |
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| 4. Text Processing Part 1.mp4 |
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| 4. Vectorizer.mp4 |
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| 5. App Deployment.mp4 |
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| 5. Creating A Flask App.mp4 |
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| 5. Creating Important functions.mp4 |
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| 5. Creating model for test set.mp4 |
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| 5. Creating the extractor app.mp4 |
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| 5. Data Preprocessing.mp4 |
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| 5. Deploying Django App.mp4 |
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| 5. Heroku Deployment.srt |
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| 5. Implementing Django Application.mp4 |
84.68Мб |
| 5. Implementing Django Application.srt |
14.95Кб |
| 5. Integrating Jinja Framework.mp4 |
134.12Мб |
| 5. Integrating Jinja Framework.srt |
17.11Кб |
| 5. Integrating Python Code with JavaScript.mp4 |
108.91Мб |
| 5. Integrating Python Code with JavaScript.srt |
12.95Кб |
| 5. Model building.mp4 |
75.53Мб |
| 5. Model Building.mp4 |
101.92Мб |
| 5. Model Building.mp4 |
87.14Мб |
| 5. Model Building.mp4 |
43.41Мб |
| 5. Model building.srt |
11.92Кб |
| 5. Model Building.srt |
15.88Кб |
| 5. Model Building.srt |
12.78Кб |
| 5. Model Building.srt |
10.91Кб |
| 5. Model Building and Prediction using ANN.mp4 |
34.15Мб |
| 5. Model Building and Prediction using ANN.srt |
8.95Кб |
| 5. Model Building and Prediction using Deep Learning.mp4 |
46.72Мб |
| 5. Model Building and Prediction using Deep Learning.srt |
9.03Кб |
| 5. Model Building and Prediction using LSTM model.mp4 |
32.59Мб |
| 5. Model Building and Prediction using LSTM model.srt |
6.21Кб |
| 5. Model Building and Prediction using PyCaret (AutoML).mp4 |
97.03Мб |
| 5. Model Building and Prediction using PyCaret (AutoML).srt |
15.22Кб |
| 5. Model building part2.mp4 |
58.84Мб |
| 5. Model building part 2.mp4 |
104.89Мб |
| 5. Model Building Part 2.mp4 |
33.65Мб |
| 5. Model building part2.srt |
7.41Кб |
| 5. Model building part 2.srt |
12.97Кб |
| 5. Model Building Part 2.srt |
6.12Кб |
| 5. Model Building uisng ML.mp4 |
31.93Мб |
| 5. Model Building uisng ML.srt |
7.34Кб |
| 5. Model Building using ML.mp4 |
31.36Мб |
| 5. Model Building using ML.mp4 |
24.43Мб |
| 5. Model Building using ML.srt |
7.26Кб |
| 5. Model Building using ML.srt |
6.89Кб |
| 5. Model Building using ML- 1.mp4 |
69.09Мб |
| 5. Model Building using ML- 1.srt |
13.98Кб |
| 5. Model Building using ML Algorithms.mp4 |
59.15Мб |
| 5. Model Building using ML Algorithms.srt |
13.83Кб |
| 5. Model Testing.mp4 |
60.25Мб |
| 5. Model Testing.srt |
8.83Кб |
| 5. Testing the model.mp4 |
18.77Мб |
| 5. Testing the model.srt |
2.91Кб |
| 5. Text Processing Part2.mp4 |
138.34Мб |
| 5. Text Processing Part2.srt |
18.97Кб |
| 50 |
1.73Мб |
| 51 |
475.86Кб |
| 52 |
1004.94Кб |
| 53 |
1.15Мб |
| 54 |
1.53Мб |
| 55 |
1.76Мб |
| 56 |
325.39Кб |
| 57 |
581.36Кб |
| 58 |
1.20Мб |
| 59 |
1.48Мб |
| 6 |
841.48Кб |
| 6. Creating the flask App.mp4 |
28.12Мб |
| 6. Creating the flask App.srt |
8.74Кб |
| 6. Deploying on heroku.mp4 |
52.70Мб |
| 6. Deploying on heroku.srt |
8.04Кб |
| 6. Deploying to Heroku.mp4 |
48.16Мб |
| 6. Deploying to Heroku.srt |
8.86Кб |
| 6. Deployment on Heroku Cloud.mp4 |
68.66Мб |
| 6. Deployment on Heroku Cloud.srt |
11.06Кб |
| 6. Deploy the app in heroku.mp4 |
39.08Мб |
| 6. Deploy the app in heroku.srt |
6.66Кб |
| 6. Django Application building.mp4 |
111.43Мб |
| 6. Django Application building.srt |
17.85Кб |
| 6. Django Application part2.mp4 |
66.75Мб |
| 6. Django Application part2.srt |
8.95Кб |
| 6. EDA Part-5.mp4 |
121.08Мб |
| 6. EDA Part-5.srt |
15.61Кб |
| 6. Feature Selection.mp4 |
25.02Мб |
| 6. Feature Selection.srt |
5.00Кб |
| 6. Integrating JavaScript with Flask.mp4 |
86.15Мб |
| 6. Integrating JavaScript with Flask.srt |
10.48Кб |
| 6. Integrating Model with Flask.mp4 |
129.29Мб |
| 6. Integrating Model with Flask.srt |
16.08Кб |
| 6. Integrating Watson Service with UI.mp4 |
123.67Мб |
| 6. Integrating Watson Service with UI.srt |
16.98Кб |
| 6. Model Building.mp4 |
125.32Мб |
| 6. Model Building.mp4 |
70.94Мб |
| 6. Model Building.mp4 |
57.36Мб |
| 6. Model Building.srt |
22.05Кб |
| 6. Model Building.srt |
9.07Кб |
| 6. Model Building.srt |
8.06Кб |
| 6. Model building and Predictions using Auto ML.mp4 |
61.40Мб |
| 6. Model building and Predictions using Auto ML.srt |
11.24Кб |
| 6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).mp4 |
37.53Мб |
| 6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).srt |
8.24Кб |
| 6. Model Building and Prediction using Auto Keras(Auto ML).mp4 |
70.32Мб |
| 6. Model Building and Prediction using Auto Keras(Auto ML).srt |
13.09Кб |
| 6. Model Building and Prediction using Eval Auto ML.mp4 |
70.78Мб |
| 6. Model Building and Prediction using Eval Auto ML.srt |
13.57Кб |
| 6. Model Building and Prediction using EVAL ML(Auto ML).mp4 |
97.73Мб |
| 6. Model Building and Prediction using EVAL ML(Auto ML).srt |
17.51Кб |
| 6. Model Building and Prediction using H2O Auto ML.mp4 |
73.76Мб |
| 6. Model Building and Prediction using H2O Auto ML.srt |
14.16Кб |
| 6. Model Building and Prediction using H2O Auto ML(Auto ML).mp4 |
91.93Мб |
| 6. Model Building and Prediction using H2O Auto ML(Auto ML).srt |
17.13Кб |
| 6. Model Building and Prediction using ML.mp4 |
34.56Мб |
| 6. Model Building and Prediction using ML.srt |
8.45Кб |
| 6. Model Building using Auto ML(PyCaret).mp4 |
82.68Мб |
| 6. Model Building using Auto ML(PyCaret).srt |
12.02Кб |
| 6. Model Building using ML- 2.mp4 |
45.07Мб |
| 6. Model Building using ML- 2.srt |
8.29Кб |
| 6. Model Building using ML Algorithms.mp4 |
52.83Мб |
| 6. Model Building using ML Algorithms.srt |
14.34Кб |
| 6. Model Building using TPOT Auto ML Library-1.mp4 |
44.33Мб |
| 6. Model Building using TPOT Auto ML Library-1.srt |
8.46Кб |
| 6. Model evaluation.mp4 |
44.54Мб |
| 6. Model evaluation.srt |
6.74Кб |
| 6. Running the extractor app.mp4 |
14.85Мб |
| 6. Running the extractor app.srt |
2.90Кб |
| 6. Splitting the Data.mp4 |
29.41Мб |
| 6. Splitting the Data.srt |
5.28Кб |
| 6. Text Processing Part 3.mp4 |
57.97Мб |
| 6. Text Processing Part 3.srt |
8.69Кб |
| 60 |
89.08Кб |
| 61 |
205.36Кб |
| 62 |
688.29Кб |
| 63 |
711.75Кб |
| 64 |
1.08Мб |
| 65 |
1.09Мб |
| 66 |
1.23Мб |
| 67 |
1.77Мб |
| 68 |
504.32Кб |
| 69 |
677.87Кб |
| 7 |
206.93Кб |
| 7. Coding the UI.mp4 |
99.65Мб |
| 7. Coding the UI.srt |
15.82Кб |
| 7. Deploying on Heroku.mp4 |
53.56Мб |
| 7. Deploying on Heroku.mp4 |
40.44Мб |
| 7. Deploying on Heroku.srt |
9.76Кб |
| 7. Deploying on Heroku.srt |
7.81Кб |
| 7. Deployment on Google Cloud Platform -GCP.mp4 |
165.28Мб |
| 7. Deployment on Google Cloud Platform -GCP.srt |
23.62Кб |
| 7. Deployment on Heroku Cloud.mp4 |
131.41Мб |
| 7. Deployment on Heroku Cloud.srt |
16.59Кб |
| 7. EDA Part-6.mp4 |
152.68Мб |
| 7. EDA Part-6.srt |
21.22Кб |
| 7. Hyper Parameter Tuning, Model Testing.mp4 |
152.94Мб |
| 7. Hyper Parameter Tuning, Model Testing.srt |
23.23Кб |
| 7. Model Building and Predictions using TPOT Library (Auto ML).mp4 |
43.39Мб |
| 7. Model Building and Predictions using TPOT Library (Auto ML).srt |
10.03Кб |
| 7. Model Building and Prediction using Auto SK Learn(Auto ML).mp4 |
56.34Мб |
| 7. Model Building and Prediction using Auto SK Learn(Auto ML).srt |
10.30Кб |
| 7. Model Building and Prediction using ML.mp4 |
29.53Мб |
| 7. Model Building and Prediction using ML.srt |
8.23Кб |
| 7. Model Building and Prediction using PyCaret (AutoML).mp4 |
68.99Мб |
| 7. Model Building and Prediction using PyCaret (AutoML).srt |
13.04Кб |
| 7. Model Building using ML.mp4 |
38.49Мб |
| 7. Model Building using ML.srt |
8.67Кб |
| 7. Model Building using TPOT Auto ML Library-2.mp4 |
26.94Мб |
| 7. Model Building using TPOT Auto ML Library-2.srt |
5.52Кб |
| 7. Model Evaluation.mp4 |
69.05Мб |
| 7. Model Evaluation.srt |
8.22Кб |
| 7. Running the app in system.mp4 |
17.27Мб |
| 7. Running the app in system.srt |
5.22Кб |
| 7. Testing the deployed pan card detector.mp4 |
5.71Мб |
| 7. Testing the deployed pan card detector.srt |
1.92Кб |
| 7. Text Processing Part 4.mp4 |
155.38Мб |
| 7. Text Processing Part 4.srt |
18.79Кб |
| 7. Touch points on Amazon Web Services -AWS.mp4 |
74.59Мб |
| 7. Touch points on Amazon Web Services -AWS.srt |
15.40Кб |
| 70 |
1.15Мб |
| 71 |
1.22Мб |
| 72 |
1.33Мб |
| 73 |
1.65Мб |
| 74 |
49.84Кб |
| 75 |
610.19Кб |
| 76 |
695.95Кб |
| 77 |
766.23Кб |
| 78 |
849.49Кб |
| 79 |
873.17Кб |
| 8 |
802.85Кб |
| 8. Coding the UI Part 1.mp4 |
109.80Мб |
| 8. Coding the UI Part 1.mp4 |
57.87Мб |
| 8. Coding the UI Part 1.srt |
15.27Кб |
| 8. Coding the UI Part 1.srt |
10.10Кб |
| 8. Deploying model on AWS EC2 instance.mp4 |
301.20Мб |
| 8. Deploying model on AWS EC2 instance.srt |
33.81Кб |
| 8. Deployment of Model using Flask API.mp4 |
63.35Мб |
| 8. Deployment of Model using Flask API.srt |
17.72Кб |
| 8. Deployment on Heroku Cloud.mp4 |
127.70Мб |
| 8. Deployment on Heroku Cloud.srt |
20.72Кб |
| 8. EDA Part-7.mp4 |
114.85Мб |
| 8. EDA Part-7.srt |
18.38Кб |
| 8. Model Building and Prediction using Auto SK Learn.mp4 |
41.91Мб |
| 8. Model Building and Prediction using Auto SK Learn.srt |
8.97Кб |
| 8. Model Building and Prediction using H2O Auto ML Library.mp4 |
73.36Мб |
| 8. Model Building and Prediction using H2O Auto ML Library.srt |
14.04Кб |
| 8. Text Analytics Part 1.mp4 |
124.73Мб |
| 8. Text Analytics Part 1.srt |
19.18Кб |
| 8. Using FLASK API.mp4 |
50.76Мб |
| 8. Using FLASK API.srt |
11.55Кб |
| 80 |
1.11Мб |
| 81 |
276.43Кб |
| 82 |
424.10Кб |
| 83 |
637.51Кб |
| 84 |
916.63Кб |
| 85 |
86.13Кб |
| 86 |
797.84Кб |
| 87 |
1.11Мб |
| 88 |
361.83Кб |
| 89 |
857.04Кб |
| 9 |
1.11Мб |
| 9. Coding the UI Part 2.mp4 |
129.69Мб |
| 9. Coding the UI Part 2.mp4 |
115.02Мб |
| 9. Coding the UI Part 2.srt |
16.47Кб |
| 9. Coding the UI Part 2.srt |
15.29Кб |
| 9. Deploying model using Heroku.mp4 |
33.31Мб |
| 9. Deploying model using Heroku.srt |
8.56Кб |
| 9. Fixing the Errors.mp4 |
33.99Мб |
| 9. Fixing the Errors.srt |
3.90Кб |
| 9. Model Building Part-1.mp4 |
156.12Мб |
| 9. Model Building Part-1.srt |
29.07Кб |
| 9. Text Analytics Part 2.mp4 |
106.35Мб |
| 9. Text Analytics Part 2.srt |
15.53Кб |
| 90 |
1.31Мб |
| 91 |
1.38Мб |
| 92 |
1.91Мб |
| 93 |
35.32Кб |
| 94 |
272.23Кб |
| 95 |
742.19Кб |
| 96 |
988.42Кб |
| 97 |
1.43Мб |
| 98 |
325.80Кб |
| 99 |
406.73Кб |
| TutsNode.com.txt |
63б |