[TutsNode.com] - Data Science Mega-Course #Build {60-Projects In 60-Days}

  1. Introduction To The Course

   2. Course Outline Video.srt

   2. Course Outline Video.mp4

   3. Udemy Feedback.mp4

  61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services

   8. Deploying model on AWS EC2 instance.srt

   3. Text Processing Part2.srt

   2. Text Processing Part1.srt

   5. Model Testing.srt

   9. Fixing the Errors.srt

   2. Text Processing Part1.mp4

   4. Model Building.mp4

   5. Model Testing.mp4

   9. Fixing the Errors.mp4

  19. Project-18 Restaurant Recommendation System

   2. Creating Colab Notebook.srt

   4. Data Analysis2.mp4

   2. Creating Colab Notebook.mp4

   1. Introduction.mp4

  13. Project-12 Attrition Rate Django Application

   1. Introduction.srt

   4. Deploying App in heroku.srt

   3. Creating Django App.mp4

   1. Introduction.mp4

  20. Project-19 Happiness Ranking Django App -Deploy On Heroku

   3. Creating Django App.srt

   1. Introduction.srt

   3. Creating Django App.mp4

   1. Introduction.mp4

  2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku

   7. Testing the deployed pan card detector.srt

   6. Deploy the app in heroku.srt

   2. Loading libraries and dataset.srt

   3. Creating the pancard detector with opencv.mp4

   2. Loading libraries and dataset.mp4

   1. Introduction To Pan Card Tempering Detector.mp4

   7. Testing the deployed pan card detector.mp4

  54. Project-53 Laptop Price Predictor -Deploy On Heroku

   7. EDA Part-6.srt

   10. Model Building Part-2.srt

   8. EDA Part-7.srt

   6. EDA Part-5.srt

   12. Model Building Part-4.srt

   15. Deployment on Heroku.srt

   2. EDA Part-1.srt

   11. Model Building Part-3.mp4

   7. EDA Part-6.mp4

   6. EDA Part-5.mp4

   5. EDA Part-4.mp4

   4. EDA Part-3.mp4

   12. Model Building Part-4.mp4

   2. EDA Part-1.mp4

   13. Model Building Part-5.mp4

  16. Project-15 Cats Vs Dogs Classification Flask App

   2. Creating Project Notebook.mp4

   3. Building Model.srt

   1. Introduction.srt

   5. App Deployment.mp4

   1. Introduction.mp4

  18. Project-17 Gender From Voice Prediction App -Deploy On Heroku

   3. Creating Project App Django.srt

   2. Creating Project Notebook.mp4

   3. Creating Project App Django.mp4

   1. Introduction.mp4

  21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku

   4. Creating Django App.srt

   3. Project Notebook Part2.srt

   2. Project Notebook.mp4

   3. Project Notebook Part2.mp4

   1. Introduction.mp4

  17. Project-16 Customer Revenue Prediction App -Deploy On Heroku

   3. Creating Flask App.srt

   1. Introduction.srt

   3. Creating Flask App.mp4

   1. Introduction.mp4

  60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud

   4. Coding the UI.srt

   2. Data Preprocessing.srt

   6. Integrating JavaScript with Flask.srt

   7. Deployment on Google Cloud Platform -GCP.mp4

   5. Integrating Jinja Framework.mp4

   3. Model Building.mp4

   1. Introduction.mp4

  56. Project-55 Course Recommendation System -Deploy On Heroku

   2. Coding Recommendation System.srt

   6. Deployment on Heroku Cloud.srt

   1. Introduction.srt

   2. Coding Recommendation System.mp4

   4. Exploratory Data Analysis.mp4

   1. Introduction.mp4

  59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure

   5. Feature Selection.srt

   10. Coding the UI Part 3.srt

   9. Coding the UI Part 2.srt

   4. EDA Part 2.srt

   6. Model Building.srt

   12. Deployment Part 2.srt

   10. Coding the UI Part 3.mp4

   5. Feature Selection.mp4

   9. Coding the UI Part 2.mp4

   4. EDA Part 2.mp4

   6. Model Building.mp4

   12. Deployment Part 2.mp4

  57. Project-56 IPL Match Win Predictor -Deploy On Heroku

   8. Deployment on Heroku Cloud.srt

   7. Coding the UI.srt

   5. EDA Part 4.srt

   1. Introduction.srt

   8. Deployment on Heroku Cloud.mp4

   2. EDA Part 1.mp4

   5. EDA Part 4.mp4

   1. Introduction.mp4

  3. Project-2 Dog breed prediction Flask App

   5. Testing the model.srt

   6. Creating the flask App.srt

   7. Running the app in system.srt

   4. Build and Train Model.mp4

   3. Data Preprocessing.mp4

   5. Testing the model.mp4

   1. Introduction to dog breed prediction.mp4

  14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku

   1. Introduction.srt

   4. Deploying App in heroku.srt

   3. Creating DJango App.mp4

   1. Introduction.mp4

  12. Project-11 Sentiment Analysis Django App -Deploy On Heroku

   1. Introduction to Sentiment Analysis.srt

   3. Building Django App.srt

   4. Deploying App in heroku.mp4

   1. Introduction to Sentiment Analysis.mp4

  31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku

   3. Building the model.srt

   5. Deploying on Heroku.srt

   3. Building the model.mp4

   2. Cleaning the data.mp4

   1. Introduction.mp4

  27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

   4. Building Django Application.srt

   5. Deploying to Heroku.srt

   3. Outliers and Model.mp4

   4. Building Django Application.mp4

   1. Introduction.mp4

  55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku

   5. Text Processing Part2.srt

   9. Text Analytics Part 2.srt

   11. Text Analytics Part 4.srt

   14. Deployment on Heroku Cloud.srt

   13. Text Analytics Part 6.srt

   6. Text Processing Part 3.srt

   2. Fetching Data from Whatsapp.srt

   5. Text Processing Part2.mp4

   8. Text Analytics Part 1.mp4

   10. Text Analytics Part 3.mp4

   9. Text Analytics Part 2.mp4

   13. Text Analytics Part 6.mp4

   6. Text Processing Part 3.mp4

   2. Fetching Data from Whatsapp.mp4

  4. Project-3 Image Watermarking App -Deploy On Heroku

   4. Creating the app.srt

   5. Deploying the app in heroku.srt

   3. Create text and image watermark.mp4

   5. Deploying the app in heroku.mp4

   1. Introduction.mp4

  52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku

   5. Deployment on Heroku.srt

   1. Introduction -Language Translator App Using IBM Cloud Service -Deploy On Heroku.srt

   4. Coding the UI.mp4

   3. Integrating Service.mp4

   2. Setting Service.mp4

  24. Project-23 Build Shrooming Predictions App -Deploy On Heroku

   2. Importing libraries.srt

   5. Deploying on Heroku.srt

   2. Importing libraries.mp4

   3. Building the model.mp4

   1. Introduction.mp4

  8. Project-7 Vehicle Detection And Counting Flask App

   3. Transforming Images and creating output.srt

   1. Introduction.srt

   4. Creating a flask App.mp4

   2. Importing libraries and data.mp4

  28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku

   4. Django Application.srt

   3. Building the model.srt

   2. Introduction and handling the data.mp4

   3. Building the model.mp4

   1. Introduction.mp4

  25. Project-24 Google Play App Rating prediction With Deployment On Heroku

   2. Introduction to libraries and dataset.srt

   6. Deploying to Heroku.srt

   1. Introduction.srt

   5. Django Application.mp4

   4. building the model.mp4

   1. Introduction.mp4

  58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure

   4. Feature Selection Part 1.srt

   9. Coding the UI Part 2.srt

   2. EDA Part 1.srt

   7. Model Evaluation.srt

   1. Introduction.srt

   10. Model Deployment on Azure Part 1.mp4

   8. Coding the UI Part 1.mp4

   2. EDA Part 1.mp4

   6. Model Building.mp4

   5. Feature Selection Part 2.mp4

   1. Introduction.mp4

  23. Project-22 Build Affair Count Django App -Deploy On Heroku

   3. Feature Selection.srt

   5. Django Application.srt

   4. Model Building.srt

   6. Django Application building.mp4

   2. Machine Learning model building.mp4

   7. Deploying on Heroku.mp4

   1. Introduction.mp4

  29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku

   2. Understanding the data.srt

   5. Deploying on Heroku.srt

   2. Understanding the data.mp4

   4. Django Application.mp4

   1. Introduction.mp4

  6. Project-5 Project on text extraction from images

   6. Running the extractor app.srt

   4. Modifying the extractor.srt

   2. Importing libraries and data.srt

   3. Extracting the test from image.mp4

   2. Importing libraries and data.mp4

   6. Running the extractor app.mp4

  37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)

   3. Data Analysis.srt

   7. Model Building and Predictions using TPOT Library (Auto ML).srt

   6. Model Building using ML- 2.srt

   2. Importing Libraries and Dataset.srt

   3. Data Analysis.mp4

   6. Model Building using ML- 2.mp4

   1. Introduction to the Project.mp4

   4. Feature Engineering.mp4

  39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)

   3. Data Analysis.srt

   4. Feature Engineering.srt

   1. Introduction to the project.srt

   3. Data Analysis.mp4

   5. Model Building.mp4

   1. Introduction to the project.mp4

  36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML

   6. Model Building and Prediction using H2O Auto ML(Auto ML).srt

   1. Introduction to the Project.srt

   2. Importing Libraries and DataSet.srt

   3. Data Analysis.mp4

   5. Model Building and Prediction using ANN.mp4

   2. Importing Libraries and DataSet.mp4

  9. Project-8 Create A Face Swapping Flask App

   1. Introduction.srt

   2. Importing libraries and data.srt

   4. Creating A Flask App.mp4

   1. Introduction.mp4

  53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

   7. Deployment on Heroku Cloud.srt

   4. Setting up Watson Studio Part-2.srt

   2. Introduction.srt

   7. Deployment on Heroku Cloud.mp4

   4. Setting up Watson Studio Part-2.mp4

   5. Deploying the Model on Deployment Center.mp4

   1. Project Overview.mp4

  26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku

   4. Django Application.srt

   5. Deploying on heroku.srt

   2. Importing Libraries and understanding data.mp4

   4. Django Application.mp4

   1. Introduction.mp4

  15. Project-14 Face Detection Streamlit App

   4. Creating The Face app.srt

   1. Introduction.srt

   4. Creating The Face app.mp4

   1. Introduction.mp4

  30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku

   5. Implementing Django Application.srt

   4. Building the model.srt

   1. Introduction.srt

   5. Implementing Django Application.mp4

   2. Understanding the data.mp4

   1. Introduction.mp4

  50. Project-49 Fake News Classifier Project

   4. Vectorizer.srt

   2. data preprocessing.srt

   5. Model Building.mp4

   2. data preprocessing.mp4

   4. Vectorizer.mp4

  10. Project-9 Bird Species Prediction Flask App

   5. Creating A Flask App.srt

   2. Importing Libraries And Data.srt

   4. Creating ML Model.mp4

   2. Importing Libraries And Data.mp4

   1. Introduction to Bird Species Prediction.mp4

  42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)

   6. Model Building and Prediction using Auto Keras(Auto ML).srt

   4. Feature Engineering.srt

   1. Introduction to the Project.srt

   6. Model Building and Prediction using Auto Keras(Auto ML).mp4

   4. Feature Engineering.mp4

   1. Introduction to the Project.mp4

  33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)

   4. Model Building using ML.srt

   1. Introduction to the Project.srt

   5. Model Building and Prediction using PyCaret (AutoML).mp4

   3. Data Analysis.mp4

   2. Importing Libraries and DataSet.mp4

  22. Project-21 Build Car Prices Prediction App -Deploy On Heroku

   5. Django Application part1.srt

   1. Introduction.srt

   6. Django Application part2.srt

   4. Model building part3.mp4

   5. Django Application part1.mp4

   2. Model building part1.mp4

   1. Introduction.mp4

  41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML

   8. Model Building and Prediction using H2O Auto ML Library.srt

   4. Data Analysis and Cleaning -2.srt

   2. Importing libraries and DataSet.srt

   6. Splitting the Data.srt

   3. Data Analysis and Cleaning -1.mp4

   2. Importing libraries and DataSet.mp4

   5. Data Preprocessing.mp4

   6. Splitting the Data.mp4

  45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML

   6. Model Building and Prediction using Eval Auto ML.srt

   4. Data Analysis and Preprocessing 2.srt

   2. Importing Libraries and DataSet.srt

   6. Model Building and Prediction using Eval Auto ML.mp4

   4. Data Analysis and Preprocessing 2.mp4

   1. Introduction to the Project.mp4

  11. Project-10 Intel Image Classification Flask App

   3. Creating a Model.srt

   1. Introduction.srt

   2. Importing and processing data.mp4

   1. Introduction.mp4

  38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)

   5. Feature Engineering.srt

   8. Using FLASK API.srt

   3. Data Analysis and Handling Missing Values- 1.srt

   9. Deploying model using Heroku.srt

   5. Feature Engineering.mp4

   6. Model Building using ML Algorithms.mp4

   4. Data Analysis and Handling Missing Values- 2.mp4

   3. Data Analysis and Handling Missing Values- 1.mp4

   1. Introduction to the Project.mp4

  46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML

   3. Data Analysis.srt

   2. Importing Libraries and DataSet.srt

   1. Introduction to the Project.srt

   3. Data Analysis.mp4

   4. Feature Engineering.mp4

   1. Introduction to the Project.mp4

  47. Project-46 Black Friday Sale Project

   5. Model building part2.srt

   1. Importing libraries and data.srt

   3. Data visualization and data preprocessing.mp4

   4. Model building part1.mp4

   1. Importing libraries and data.mp4

  40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)

   4. Data Preprocessing.srt

   2. Importing Libraries and DataSet.srt

   1. Introduction to the Project.srt

   5. Model Building using ML Algorithms.mp4

   3. Data Analysis and Cleaning.mp4

   2. Importing Libraries and DataSet.mp4

   7. Model Building using TPOT Auto ML Library-2.mp4

  48. Project-47 Sentiment Analysis Project

   5. Model Building.srt

   1. Importing libraries and data.srt

   4. Data preprocessing.mp4

   2. Text normalization.mp4

   3. Lemmatization.mp4

  7. Project-6 Plant Disease Prediction Streamlit App

   4. Model building.srt

   1. Introduction -Plant Disease Prediction Streamlit App.srt

   4. Model building.mp4

   3. Understanding the data and data preprocessing.mp4

   2. Importing libraries and data.mp4

  49. Project-48 Parkinson’s Disease Prediction Project

   4. Model building part 1.srt

   3. data visualization.srt

   5. Model building part 2.mp4

   2. Understanding the data.mp4

   1. Importing libraries and data.mp4

  44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)

   6. Model Building using Auto ML(PyCaret).srt

   1. Introduction to the Project.srt

   2. Importing Libraries and DataSet.srt

   3. Data Analysis and Preprocessing 1.mp4

   2. Importing Libraries and DataSet.mp4

   1. Introduction to the Project.mp4

  43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)

   7. Model Building and Prediction using Auto SK Learn(Auto ML).srt

   6. Model Building and Prediction using ML.srt

   1. Introduction to the Project.srt

   7. Model Building and Prediction using Auto SK Learn(Auto ML).mp4

   3. Data Analysis and Feature Engineering.mp4

   5. Data Preprocessing 2.mp4

   1. Introduction to the Project.mp4

  51. Project-50 Toxic Comment Classifier Project

   3. data visualization and preprocessing.srt

   4. Balancing the target column.srt

   2. Understanding data.srt

   5. Model building.mp4

   1. Importing libraries and data.mp4

   2. Understanding data.mp4

  32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)

   3. Data Analysis.srt

   5. Model Building Part 2.srt

   2. Importing Libraries and Datasets.srt

   3. Data Analysis.mp4

   5. Model Building Part 2.mp4

   2. Importing Libraries and Datasets.mp4

  35. Project-34 Petrol Price Forecasting Using Auto Keras

   6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).srt

   4. Data Preprocessing.srt

   2. Importing Libraries and Data Set.srt

   6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).mp4

   5. Model Building and Prediction using LSTM model.mp4

   2. Importing Libraries and Data Set.mp4

  5. Project-4 Traffic sign classification

   2. Importing the data and libraries.srt

   3. Image processing.srt

   4. Creating and testing the model.mp4

   5. Creating model for test set.mp4

   1. Introduction to traffic sign classification.mp4

  34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)

   8. Model Building and Prediction using Auto SK Learn.srt

   2. Importing Libraries and DataSet.srt

   4. Feature Engineering 1.srt

   6. Feature Selection.srt

   2. Importing Libraries and DataSet.mp4

   8. Model Building and Prediction using Auto SK Learn.mp4

   3. Data Analysis.mp4

   1. Introduction to the Project.mp4

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