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Название 50-Days 50-Projects Data Science, Machine Learning Bootcamp
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1 30б
1. Introduction.mp4 55.00Мб
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1. Introduction.mp4 9.24Мб
1. Introduction.srt 2.61Кб
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1. Introduction.srt 3.21Кб
1. Introduction to Bird Species Prediction.mp4 21.43Мб
1. Introduction To Cats Vs Dogs Classification.mp4 13.17Мб
1. Introduction To Customer Revenue Prediction.mp4 13.29Мб
1. Introduction to dog breed prediction.mp4 15.92Мб
1. Introduction To Pan Card Tempering Detector.mp4 16.18Мб
1. Introduction to Sentiment Analysis.mp4 9.16Мб
1. Introduction to text extraction.mp4 18.51Мб
1. Introduction To The Course.mp4 36.80Мб
1. Introduction to the project.mp4 26.01Мб
1. Introduction to the Project.mp4 43.39Мб
1. Introduction to the Project.mp4 35.39Мб
1. Introduction to the Project.mp4 34.45Мб
1. Introduction to the Project.mp4 33.05Мб
1. Introduction to the Project.mp4 30.61Мб
1. Introduction to the Project.mp4 29.56Мб
1. Introduction to the Project.mp4 23.76Мб
1. Introduction to the Project.mp4 21.90Мб
1. Introduction to the Project.mp4 21.45Мб
1. Introduction to traffic sign classification.mp4 30.82Мб
1. Overview.mp4 24.14Мб
1. Project Overview.mp4 13.51Мб
10 207.60Кб
10.1 Book genre classification -Code Files.zip 3.98Мб
10.1 Rain prediction Project code and files.zip 10.75Мб
10. Coding the UI Part 3.mp4 147.77Мб
10. Download The Project Files.html 33б
10. Download The Project Files.html 33б
10. Model Building Part-2.mp4 105.15Мб
10. Model Deployment on Azure Part 1.mp4 141.47Мб
10. Text Analytics Part 3.mp4 112.14Мб
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11. Deployment Part 1.mp4 145.33Мб
11. Model Building Part-3.mp4 170.87Мб
11. Model Deployment on Azure Part 2.mp4 39.61Мб
11. Text Analytics Part 4.mp4 129.42Мб
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12 19.65Кб
12.1 Body fat estimator -Code Files.zip 403.87Кб
12. Deployment Part 2.mp4 24.92Мб
12. Download The Project Files.html 33б
12. Model Building Part-4.mp4 95.62Мб
12. Text Analytics Part 5.mp4 109.35Мб
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13.1 Campus placement predictor -Code Files.zip 703.09Кб
13. Download The Project Files.html 33б
13. Model Building Part-5.mp4 19.06Мб
13. Text Analytics Part 6.mp4 86.41Мб
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14. Deployment on Heroku Cloud.mp4 105.12Мб
14. Integrating with UI.mp4 127.94Мб
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15.1 Whatsapp text analyzer -Code Files.zip 55.07Кб
15. Deployment on Heroku.mp4 74.59Мб
15. Download The Project Files.html 33б
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16.1 laptop price predictor -Code Files.zip 3.28Мб
16. Download The Project Files.html 33б
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2. Cleaning the data.mp4 90.92Мб
2. Coding Recommendation System.mp4 119.28Мб
2. Colab Notebook.mp4 201.68Мб
2. Course Outline Video.mp4 101.38Мб
2. Creating Colab Notebook.mp4 213.79Мб
2. Creating Colab Notebook.mp4 177.19Мб
2. Creating Colab Notebook.mp4 116.62Мб
2. Creating Project Notebook.mp4 244.28Мб
2. Creating Project Notebook.mp4 242.96Мб
2. Creating The Face App.mp4 103.71Мб
2. Data Preprocessing.mp4 120.92Мб
2. Data Preprocessing.mp4 97.33Мб
2. EDA Part 1.mp4 123.24Мб
2. EDA Part 1.mp4 94.73Мб
2. EDA Part-1.mp4 50.46Мб
2. Fetching Data from Whatsapp.mp4 25.73Мб
2. handling the data.mp4 116.27Мб
2. Importing and processing data.mp4 65.81Мб
2. Importing libraries and data.mp4 36.20Мб
2. Importing libraries and data.mp4 33.90Мб
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2. Importing libraries and dataset.mp4 108.73Мб
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2. Importing Libraries and DataSet.mp4 45.63Мб
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2. Importing Libraries and DataSet.mp4 40.77Мб
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2. Importing Libraries and Datasets.mp4 15.69Мб
2. Importing Libraries and Data sets.mp4 31.01Мб
2. Importing libraries and logo.mp4 25.16Мб
2. Importing libraries and Understanding Data.mp4 129.52Мб
2. Importing Libraries and understanding data.mp4 107.50Мб
2. importing the data and libraries.mp4 57.48Мб
2. Importing the data and libraries.mp4 56.82Мб
2. Introduction.mp4 40.31Мб
2. Loading libraries and dataset.mp4 31.45Мб
2. Model building.mp4 95.62Мб
2. Model building part1.mp4 62.49Мб
2. Project Notebook.mp4 240.54Мб
2. Project Notebook.mp4 207.18Мб
2. Project Notebook -Google Colab.mp4 140.74Мб
2. Setting Service.mp4 21.57Мб
2. Text Processing Part1.mp4 127.06Мб
2. Understanding the data.mp4 112.40Мб
2. Understanding the data.mp4 111.57Мб
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3
3. Building and training the model.mp4 101.15Мб
3. Building Django App.mp4 71.93Мб
3. Building Model.mp4 74.73Мб
3. Building the model.mp4 130.68Мб
3. Building the model.mp4 98.62Мб
3. Building the model.mp4 45.79Мб
3. Cleaning the data.mp4 109.28Мб
3. Create text and image watermark.mp4 75.95Мб
3. Creating a Model.mp4 88.40Мб
3. Creating Django App.mp4 138.34Мб
3. Creating Django App.mp4 85.05Мб
3. Creating DJango App.mp4 108.23Мб
3. Creating Flask App.mp4 117.99Мб
3. Creating Project App Django.mp4 106.65Мб
3. Creating The face app opencv.mp4 65.65Мб
3. Creating the pancard detector with opencv.mp4 106.91Мб
3. Data Analysis.mp4 67.73Мб
3. Data Analysis.mp4 67.34Мб
3. Data Analysis.mp4 65.22Мб
3. Data Analysis.mp4 56.06Мб
3. Data Analysis.mp4 43.33Мб
3. Data Analysis.mp4 31.66Мб
3. Data Analysis and Cleaning.mp4 51.95Мб
3. Data Analysis and Cleaning -1.mp4 68.59Мб
3. Data Analysis and Handling Missing Values- 1.mp4 38.33Мб
3. Data Analysis and splitting of Data.mp4 39.97Мб
3. Data Preprocessing.mp4 30.00Мб
3. Data preprocessing and creating output.mp4 127.48Мб
3. Data preprocessing and creating output.srt 15.79Кб
3. Data processing Bird Species Prediction.mp4 30.90Мб
3. EDA Part 1.mp4 120.98Мб
3. EDA Part 2.mp4 93.64Мб
3. EDA Part 2.mp4 78.63Мб
3. EDA Part-2.mp4 98.09Мб
3. Exploratory Data Analysis.mp4 85.43Мб
3. Extracting the test from image.mp4 40.66Мб
3. Feature Building and Selection.mp4 103.37Мб
3. Feature Selection and model building.mp4 109.91Мб
3. Image processing.mp4 45.06Мб
3. Integrating Service.mp4 96.66Мб
3. Integrating with Flask Server.mp4 165.65Мб
3. Model Building.mp4 88.47Мб
3. Model building part2.mp4 100.94Мб
3. Outliers and Model.mp4 154.64Мб
3. Preprocessing the data.mp4 74.90Мб
3. Project Notebook Part2.mp4 76.38Мб
3. Project Structure.mp4 65.72Мб
3. Setting up Watson Studio Part-1.mp4 71.35Мб
3. Text Processing Part2.mp4 110.52Мб
3. Transforming Images and creating output.mp4 99.02Мб
3. Transforming Images and creating output.srt 12.57Кб
3. Udemy Feedback.mp4 2.04Мб
3. Understanding the data.mp4 49.75Мб
3. Understanding the data.srt 5.41Кб
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4 22б
4. Build and Train Model.mp4 73.22Мб
4. Building Django Application.mp4 105.91Мб
4. Building Django Application.mp4 103.19Мб
4. Building Flask App.mp4 51.88Мб
4. building the model.mp4 50.90Мб
4. Building the model.mp4 83.69Мб
4. Coding the UI.mp4 146.00Мб
4. Coding the UI.mp4 127.70Мб
4. Creating a Flask App.mp4 59.42Мб
4. Creating A Flask App.mp4 83.96Мб
4. Creating A Flask App.mp4 78.44Мб
4. Creating A Flask App.srt 18.53Кб
4. Creating A Flask App.srt 17.22Кб
4. creating and testing the model.mp4 62.08Мб
4. Creating Django App.mp4 117.09Мб
4. Creating ML Model.mp4 94.31Мб
4. Creating the app.mp4 63.36Мб
4. Creating The face app opencv.mp4 94.17Мб
4. Creating the Flask App.mp4 14.94Мб
4. Data Analysis2.mp4 242.88Мб
4. Data Analysis and Cleaning -2.mp4 33.70Мб
4. Data Analysis and Handling Missing Values- 2.mp4 50.05Мб
4. Data Preprocessing.mp4 56.64Мб
4. Data Preprocessing.mp4 36.82Мб
4. Deploying App in heroku.mp4 79.15Мб
4. Deploying App in heroku.mp4 62.24Мб
4. Deploying App in heroku.mp4 60.51Мб
4. Deploying Django App.mp4 59.39Мб
4. Deploying Flask App.mp4 66.49Мб
4. Deploying The App.mp4 61.14Мб
4. Django Application.mp4 107.37Мб
4. Django Application.mp4 97.98Мб
4. Django Application.mp4 91.54Мб
4. EDA Part 2.mp4 68.15Мб
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4. Exploratory Data Analysis.mp4 93.49Мб
4. Feature Engineering.mp4 53.75Мб
4. Feature Engineering.mp4 47.36Мб
4. Feature Engineering.mp4 30.66Мб
4. Feature Engineering 1.mp4 43.61Мб
4. Feature Selection Part 1.mp4 106.78Мб
4. Implementing Django web application.mp4 105.28Мб
4. Model building.mp4 76.75Мб
4. Model Building.mp4 94.66Мб
4. Model Building.mp4 38.48Мб
4. Model building.srt 8.90Кб
4. Model Building Part.mp4 46.71Мб
4. Model building part3.mp4 110.80Мб
4. Model Building using ML.mp4 58.32Мб
4. Modifying the extractor.mp4 69.93Мб
4. Setting up Watson Studio Part-2.mp4 78.40Мб
4. Text Processing Part 1.mp4 119.08Мб
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5.1 1-Sentiment Analysis Code.zip 96.73Кб
5.1 2-Attrition Rate Django code.zip 121.37Кб
5.1 Collab code.zip 13.40Кб
5.1 Collab Code.zip 42.63Мб
5.1 Collab Code.zip 5.68Мб
5.1 Customer Revenue Prediction Code.zip 1.15Мб
5.1 Face Detection App- Code.zip 142.33Кб
5.1 Happiness Ranking - Code.zip 107.42Кб
5.1 Pokemon APP Code.zip 1.42Мб
5.1 Restaurant Rec - Code.zip 1.06Мб
5.1 Voice Gender Prediction code.zip 3.06Мб
5.2 Detect and Count Vehicle Flask App.zip 623.54Кб
5.2 Face Swap Flask App.zip 70.13Мб
5.2 Intel Image Flask App.zip 3.53Мб
5. Building Flask App Deployment.mp4 65.81Мб
5. Creating A Flask App.mp4 71.95Мб
5. Creating an app using streamlit.mp4 51.26Мб
5. Creating an app using streamlit.srt 13.06Кб
5. Creating Django Application part1.mp4 76.59Мб
5. Creating Important functions.mp4 29.07Мб
5. Creating model for test set.mp4 47.38Мб
5. creating the extractor app.mp4 38.63Мб
5. Data Preprocessing.mp4 31.14Мб
5. Delpoying on Heroku.mp4 58.83Мб
5. Deploying Django App.mp4 57.61Мб
5. Deploying on heroku.mp4 51.49Мб
5. Deploying on Heroku.mp4 59.20Мб
5. Deploying On Heroku.mp4 55.21Мб
5. Deploying the app in heroku.mp4 30.00Мб
5. Deploying the Model on Deployment Center..mp4 42.43Мб
5. Deploying to Heroku.mp4 54.32Мб
5. Deployment on Heroku.mp4 105.33Мб
5. Django Application.mp4 94.86Мб
5. Django Application Introduction.mp4 43.02Мб
5. Download the project files.html 33б
5. Download the project files.html 33б
5. Download The Project Files.html 33б
5. Download The Project Files.html 33б
5. Download The Project Files.html 33б
5. Download The Project Files.html 33б
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5. Download The Project Files.html 33б
5. Download The Project Files.html 33б
5. EDA Part 4.mp4 86.18Мб
5. EDA Part-4.mp4 105.36Мб
5. Feature Engineering.mp4 70.43Мб
5. Feature Engineering 2.mp4 50.68Мб
5. Feature Selection.mp4 132.32Мб
5. Feature Selection Part 2.mp4 56.93Мб
5. Heroku Deployment.mp4 45.66Мб
5. Implementing Django Application.mp4 84.66Мб
5. Integrating Jinja Framework.mp4 134.08Мб
5. Integrating Python Code with JavaScript.mp4 108.95Мб
5. Model Building and Prediction using ANN.mp4 34.15Мб
5. Model Building and Prediction using LSTM model.mp4 32.58Мб
5. Model Building and Prediction using PyCaret (AutoML).mp4 97.03Мб
5. Model Building Part 2.mp4 33.63Мб
5. Model Building using ML- 1.mp4 69.08Мб
5. Model Building using ML Algorithms.mp4 59.13Мб
5. Model Building using ML models.mp4 43.41Мб
5. Model Testing.mp4 60.25Мб
5. Testing the model.mp4 18.76Мб
5. Text Processing Part2.mp4 138.36Мб
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6.1 Artist Sculpture- Code.zip 18.06Мб
6.1 Bank Cards -Code.zip 5.51Мб
6.1 Bird Species Flask App.zip 3.86Мб
6.1 Cats Vs Dogs App Code.zip 180.58Мб
6.1 Collab Code.zip 55.78Кб
6.1 Collab Code.zip 266.28Кб
6.1 Collab Code.zip 14.57Мб
6.1 Credit Card Fraud Using Pycaret -Code and Files.zip 66.08Мб
6.1 Forest Fires App -Code.zip 187.45Мб
6.1 Language Translator -Project Files.zip 6.55Кб
6.1 Medical- Code.zip 12.36Мб
6.1 Mushroom Classification App Code.zip 4.16Мб
6.1 Phishing -Code.zip 6.39Мб
6.1 Similarity in texts -Code.zip 30.50Мб
6.2 Collab Code.zip 15.26Мб
6.2 Image Watermarking Flask App.zip 3.31Мб
6.2 Plant Disease Flask App.zip 2.26Мб
6. Creating Django Application part2.mp4 66.77Мб
6. Creating the Flask App.mp4 28.11Мб
6. Deploying on heroku.mp4 52.68Мб
6. Deploying to Heroku.mp4 48.15Мб
6. Deployment on Heroku Cloud.mp4 68.61Мб
6. Deploy the app in Heroku.mp4 39.09Мб
6. Django Application building.mp4 111.42Мб
6. Download the project files.html 33б
6. Download The Project Files.html 33б
6. Download The Project Files.html 33б
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6. Download The Project Files.html 33б
6. Download The Project Files.html 33б
6. Download The Project Files.html 33б
6. EDA Part-5.mp4 121.16Мб
6. Feature Selection.mp4 25.02Мб
6. Integrating JavaScript with Flask.mp4 86.20Мб
6. Integrating Model with Flask.mp4 129.34Мб
6. Integrating Watson Service with UI.mp4 123.63Мб
6. Model Building.mp4 125.28Мб
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6. Model Building.mp4 57.39Мб
6. Model building and Predictions using Auto ML(Eval ML).mp4 61.40Мб
6. Model Building and prediction using ARIMA and Auto Keras (Auto ML).mp4 37.51Мб
6. Model Building and Prediction using EVAL ML(Auto ML).mp4 97.74Мб
6. Model Building and Prediction using H2O Auto ML(Auto ML).mp4 91.90Мб
6. Model Building using ML- 2.mp4 45.06Мб
6. Model Building using ML Algorithms.mp4 52.84Мб
6. Model Building using TPOT Auto ML Library-1.mp4 44.33Мб
6. Running the extractor app.mp4 14.85Мб
6. Splitting the Data.mp4 29.41Мб
6. Text Processing Part 3.mp4 57.96Мб
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7.1 Bank Customer Churn-Auto Keras -Project code and Files.zip 554.76Кб
7.1 Clothes- Code.zip 34.01Мб
7.1 Collab Code.zip 41.28Кб
7.1 Course recommendation system -Code Files.zip 1.37Мб
7.1 Google App rating preiction Code.zip 4.67Мб
7.1 Heart Attack Preidction- Auto Ml -Code Files.zip 743.08Кб
7.1 Petrol Price Forecasting- Auto Kearas- Code Files.zip 21.45Кб
7.1 Pizza price prediction- Project Code and Files.zip 1.60Мб
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7. Coding the UI.mp4 99.59Мб
7. Deploying on Heroku.mp4 53.56Мб
7. Deploying on Heroku.mp4 40.44Мб
7. Deployment on GCP (Google Cloud Platform).mp4 165.37Мб
7. Deployment on Heroku Cloud.mp4 131.46Мб
7. Download The Project Files.html 33б
7. Download The Project Files.html 33б
7. Download The Project Files.html 33б
7. Download The Project Files.html 33б
7. Download The Project Files.html 33б
7. Download The Project Files.html 33б
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7. Download The Project Files.html 33б
7. EDA Part-6.mp4 152.65Мб
7. Hyper Parameter Tuning, Model Testing.mp4 152.88Мб
7. Model Building and Predictions using TPOT Library (Auto ML).mp4 43.40Мб
7. Model Building and Prediction using ML.mp4 29.52Мб
7. Model Building and Prediction using PyCaret (AutoML).mp4 68.96Мб
7. Model Building using ML.mp4 38.48Мб
7. Model Building using TPOT Auto ML Library-2.mp4 26.94Мб
7. Model Evaluation.mp4 69.02Мб
7. Running the app.mp4 17.27Мб
7. Testing the deployed pan card detector.mp4 5.71Мб
7. Text Processing Part 4.mp4 155.27Мб
7. Touch points on AWS.mp4 74.57Мб
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8.1 Advertisement Prediction -IBM watson-Code Files.zip 48.62Кб
8.1 Affair prediction- Code.zip 8.79Мб
8.1 Car acceptability prediction -Code Files.zip 10.93Кб
8.1 Car selling price prediction -Code.zip 21.42Мб
8.1 Collab Code.zip 13.51Кб
8.1 Collab Code.zip 339.28Кб
8.1 IPL cricket score-Project Code and Files.zip 1.03Мб
8.2 Dog Breed Prediction Streamlit App.zip 1.76Мб
8.2 Pan Card Tampering Flask App.zip 421.69Кб
8. Coding the UI Part 1.mp4 109.74Мб
8. Coding the UI Part 1.mp4 57.96Мб
8. Deploying model on AWS EC2 instance.mp4 301.08Мб
8. Deployment of Model using Flask API.mp4 63.35Мб
8. Deployment on Heroku Cloud.mp4 127.65Мб
8. Download The Project Files.html 33б
8. Download The Project Files.html 33б
8. Download The Project Files.html 33б
8. Download The Project Files.html 33б
8. Download The Project Files.html 33б
8. Download The Project Files.html 33б
8. Download The Project Files.html 33б
8. EDA Part-7.mp4 114.82Мб
8. Model Building and Prediction using Auto SK Learn.mp4 41.89Мб
8. Model Building and Prediction using H2O Auto ML Library.mp4 73.44Мб
8. Text Analytics Part 1.mp4 124.66Мб
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9.1 Air Quality Project Code and files.zip 5.29Мб
9.1 Bike rental -Project Code and Files.zip 387.76Кб
9.1 Flight fare- auto sk learn- Project Code and Files.zip 589.04Кб
9.1 IPL match predictor- Code Files.zip 1.27Мб
9. Coding the UI Part 2.mp4 129.58Мб
9. Coding the UI Part 2.mp4 115.14Мб
9. Deploying model using Heroku.mp4 33.27Мб
9. Download The Project Files.html 33б
9. Download The Project Files.html 33б
9. Download The Project Files.html 33б
9. Download The Project Files.html 33б
9. Fixing the Errors.mp4 33.95Мб
9. Model Building Part-1.mp4 156.00Мб
9. Text Analytics Part 2.mp4 106.41Мб
90 1.91Мб
91 20.29Кб
92 267.67Кб
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TutsNode.com.txt 63б
Статистика распространения по странам
Индия (IN) 5
США (US) 3
Италия (IT) 2
Россия (RU) 2
Великобритания (GB) 1
Кения (KE) 1
Сенегал (SN) 1
Колумбия (CO) 1
Египет (EG) 1
Южная Корея (KR) 1
Канада (CA) 1
Пуэрто-Рико (PR) 1
Всего 20
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