Udemy - 5 Real-Time Use Cases using Machine Learning

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.7 GB
  • Uploaded Byfreecoursewb
  • Downloads55
  • Last checkedDec. 21st '21
  • Date uploadedDec. 18th '21
  • Seeders 2
  • Leechers8

Infohash : 30EAF1DD5B48BF83ECE0402A232870B66AC793AB

5 Real-Time Use Cases using Machine Learning



https://DevCourseWeb.com

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.7 GB
Genre: eLearning Video | Duration: 34 lectures (4 hour, 11 mins) | Language: English
Learn Machine Learning and Deep Learning with 5 Real World projects
What you'll learn

Learn how to program in Python using the latest Python 3
Learn to perform Classification and Regression modelling
Learn to use the popular library Scikit-learn in your projects
Real life case studies and projects to understand how things are done in the real world
Explore large datasets and wrangle data using Pandas
Build artificial neural networks with Tensorflow and Keras
Understand the intuition behind Artificial Neural Networks
Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
Make robust Machine Learning models
How to improve your Machine Learning Models
Implement Machine Learning algorithms

Description

Are you ready to start your path to becoming a Data Scientist or ML Engineer?

Files:

[ DevCourseWeb.com ] Udemy - 5 Real-Time Use Cases using Machine Learning
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Course Introduction.mp4 (34.9 MB)
    • 1. Course Introduction.srt (11.4 KB)
    2. Project 01 Chatbot
    • 1. Introduction.mp4 (29.1 MB)
    • 1. Introduction.srt (6.8 KB)
    • 2. Exploring the Data.mp4 (38.8 MB)
    • 2. Exploring the Data.srt (5.6 KB)
    • 3. Preprocessing the Text Data.mp4 (65.8 MB)
    • 3. Preprocessing the Text Data.srt (8.9 KB)
    • 4. Creating and Training the model.mp4 (67.5 MB)
    • 4. Creating and Training the model.srt (9.1 KB)
    • 5. Making Predictions using Chatbot.mp4 (52.2 MB)
    • 5. Making Predictions using Chatbot.srt (8.1 KB)
    • 6. Conclusion.mp4 (32.6 MB)
    • 6. Conclusion.srt (9.9 KB)
    3. Project 02 Fake News Classification
    • 1. Introduction.mp4 (53.8 MB)
    • 1. Introduction.srt (15.7 KB)
    • 2. Preprocessing the Data.mp4 (96.4 MB)
    • 2. Preprocessing the Data.srt (17.5 KB)
    • 3. Walkthrough the Data.mp4 (38.4 MB)
    • 3. Walkthrough the Data.srt (5.9 KB)
    • 4. Importing Dataset.mp4 (93.5 MB)
    • 4. Importing Dataset.srt (13.6 KB)
    • 5. Training and Testing the model.mp4 (86.1 MB)
    • 5. Training and Testing the model.srt (13.2 KB)
    • 6. Conclusion.mp4 (37.8 MB)
    • 6. Conclusion.srt (12.4 KB)
    4. Project 03 Customer Churn Prediction
    • 1. Introduction.mp4 (39.9 MB)
    • 1. Introduction.srt (11.3 KB)
    • 2. Importing Dataset.mp4 (48.8 MB)
    • 2. Importing Dataset.srt (6.5 KB)
    • 3. Gaining Insights from the Data.mp4 (92.8 MB)
    • 3. Gaining Insights from the Data.srt (16.2 KB)
    • 4. Manipulating the Data.mp4 (121.0 MB)
    • 4. Manipulating the Data.srt (21.3 KB)
    • 5. Training and Exporting the model.mp4 (72.5 MB)
    • 5. Training and Exporting the model.srt (10.4 KB)
    • 6. Conclusion.mp4 (27.8 MB)
    • 6. Conclusion.srt (8.2 KB)
    5. Project 4 Car Price Prediction
    • 1. Introduction.mp4 (26.8 MB)
    • 1. Introduction.srt (6.6 KB)
    • 2. Dataset and Libraries.mp4 (31.1 MB)
    • 2. Dataset and Libraries.srt (4.2 KB)
    • 3. Importing Dataset.mp4 (37.0 MB)
    • 3. Importing Dataset.srt (6.7 KB)
    • 4. Encoding and Splitting the Data.mp4 (54.7 MB)
    • 4. Encoding and Splitting the Data.srt (9.8 KB)
    • 5. Training and Exporting the model.mp4 (54.7 MB)
    • 5. Training and Exporting the model.srt (11.4 KB)
    • 6. Conclusion.mp4 (24.9 MB)
    • 6. Conclusion.srt (5.1 KB)
    6. Project 5 Fashion Product Classifier
    • 1. Introduction.mp4 (26.8 MB)
    • 1. Introduction.srt (5.6 KB)
    • 2. About the Dataset.mp4 (30.2 MB)
    • 2. About the Dataset.srt (4.0 KB)
    • 3. Downloading the Dataset in Colab.mp4 (51.6 MB)
    • 3. Downloading the Dataset in Colab.srt (7.0 KB)
    • 4. Preparing the Data.mp4 (46.3 MB)
    • 4. Preparing the Data.srt (7.4 KB)
    • 5. Preparing ImageDataGenerator.mp4 (41.6 MB)
    • 5. Preparing ImageDataGenerator.srt (9.4 KB)
    • 6. Initializing the Neural Network.mp4 (43.9 MB)
    • 6. Initializing the Neural Network.srt (8.9 KB)
    • 7. Training the Neural Network.mp4 (64.5 MB)
    • 7. Training the Neural Network.srt (11.6 KB)
    • 8. Making Prediction.mp4 (53.7 MB)
    • 8. Making Prediction.srt (10.5 KB)
    • 9. Conclusion.mp4 (23.3 MB)
    • 9. Conclusion.srt (6.2 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce