| 001 Course-outline.pdf | 93.5 KB | ||
| 001 DetailedCourseOutlinedocx-210310-112105.pdf | 93.5 KB | ||
| 001 Introducing AI.mp4 | 66.9 MB | ||
| 001 Introducing AI_en.srt | 5.2 KB | ||
| 001 Introduction.mp4 | 23 MB | ||
| 001 Introduction_en.srt | 1.6 KB | ||
| 002 Binary vs Multiclass.mp4 | 26.4 MB | ||
| 002 Binary vs Multiclass_en.srt | 3.3 KB | ||
| 002 Collaborative Filtering.mp4 | 49.5 MB | ||
| 002 Collaborative Filtering_en.srt | 3.6 KB | ||
| 002 Decision Tree.mp4 | 60.7 MB | ||
| 002 Decision Tree_en.srt | 11.7 KB | ||
| 002 How AI works.mp4 | 55 MB | ||
| 002 How AI works_en.srt | 8.3 KB | ||
| 002 Human Or Machine.mp4 | 14 MB | ||
| 002 Human Or Machine_en.srt | 921.6 B | ||
| 002 Intro to Data Science.mp4 | 40.1 MB | ||
| 002 Intro to Data Science_en.srt | 3.7 KB | ||
| 002 Introduction to Deep Learning.mp4 | 67.7 MB | ||
| 002 Introduction to Deep Learning_en.srt | 8.6 KB | ||
| 002 NLP Applications.mp4 | 20.2 MB | ||
| 002 NLP Applications_en.srt | 2.3 KB | ||
| 002 Project Description.mp4 | 15.7 MB | ||
| 002 Project Description_en.srt | 1 KB | ||
| 002 Recommendation Systems.mp4 | 48.5 MB | ||
| 002 Recommendation Systems_en.srt | 5.3 KB | ||
| 002 Understanding Boxplot.mp4 | 21.3 MB | ||
| 002 Understanding Boxplot_en.srt | 4.7 KB | ||
| 002 Unsupervised Learning.mp4 | 46 MB | ||
| 002 Unsupervised Learning_en.srt | 4.8 KB | ||
| 002 What is Association.mp4 | 32.8 MB | ||
| 002 What is Association_en.srt | 2.6 KB | ||
| 002 What is Customer segmentation.mp4 | 33.9 MB | ||
| 002 What is Customer segmentation_en.srt | 4.8 KB | ||
| 002 What is Machine Learning.mp4 | 16.8 MB | ||
| 002 What is Machine Learning_en.srt | 2.3 KB | ||
| 003 Confusion Matrix.mp4 | 19.1 MB | ||
| 003 Confusion Matrix_en.srt | 4.8 KB | ||
| 003 Fields of AI.mp4 | 94 MB | ||
| 003 Fields of AI_en.srt | 7.6 KB | ||
| 003 How Apriori algorithm works.mp4 | 74.8 MB | ||
| 003 How Apriori algorithm works_en.srt | 11.3 KB | ||
| 003 How KMeans works.mp4 | 16.9 MB | ||
| 003 How KMeans works_en.srt | 6.3 KB | ||
| 003 Image as Pixel Values.mp4 | 38.9 MB | ||
| 003 Image as Pixel Values_en.srt | 4.3 KB | ||
| 003 One-vs-Rest (OvR).mp4 | 16.3 MB | ||
| 003 One-vs-Rest (OvR)_en.srt | 4.1 KB | ||
| 003 Project - ResNet50 Model.mp4 | 22.5 MB | ||
| 003 Project - ResNet50 Model_en.srt | 3.2 KB | ||
| 003 Project Description.mp4 | 20.1 MB | ||
| 003 Project Description_en.srt | 1.2 KB | ||
| 003 Tokenization & CountVectorizer.mp4 | 28.4 MB | ||
| 003 Tokenization & CountVectorizer_en.srt | 2.9 KB | ||
| 003 Train_test_split (function).mp4 | 42.5 MB | ||
| 003 Train_test_split (function)_en.srt | 6.5 KB | ||
| 003 Types of Data.mp4 | 47.2 MB | ||
| 003 Types of Data_en.srt | 4.7 KB | ||
| 003 Types of Machine Learning.mp4 | 48.7 MB | ||
| 003 Types of Machine Learning_en.srt | 5.9 KB | ||
| 003 Types of Recommenders.mp4 | 39.8 MB | ||
| 003 Types of Recommenders_en.srt | 4.9 KB | ||
| 003 User-Based vs Item-Based.mp4 | 26.9 MB | ||
| 003 User-Based vs Item-Based_en.srt | 3.9 KB | ||
| 003 Workflow of AI.mp4 | 23.9 MB | ||
| 003 Workflow of AI_en.srt | 2.5 KB | ||
| 003 restaurant-201223-113120.jpg?042148 | 129.2 KB | ||
| 004 Class summary.mp4 | 17.2 MB | ||
| 004 Class summary_en.srt | 1 KB | ||
| 004 Class-summary.pdf | 339.9 KB | ||
| 004 Classification vs Regression.mp4 | 13.6 MB | ||
| 004 Classification vs Regression_en.srt | 2.3 KB | ||
| 004 Mall-Customers-201119-162946.csv | 3.9 KB | ||
| 004 One-vs-One (OvO).mp4 | 22.5 MB | ||
| 004 One-vs-One (OvO)_en.srt | 2.8 KB | ||
| 004 Project - Segmenting Mall Customers.mp4 | 37.2 MB | ||
| 004 Project - Segmenting Mall Customers_en.srt | 6 KB | ||
| 004 Project Description.mp4 | 21.8 MB | ||
| 004 Project Description_en.srt | 1.4 KB | ||
| 004 Project description.mp4 | 16.3 MB | ||
| 004 Project description_en.srt | 1 KB | ||
| 004 TensorFlow-Installation.pdf | 1.5 MB | ||
| 005 Class summary.mp4 | 20.6 MB | ||
| 005 Class summary_en.srt | 1.1 KB | ||
| 005 Class-summary.pdf | 406.8 KB | ||
| 005 Fish-201119-162832.csv | 5.9 KB | ||
| 005 Income-201119-162928.csv | 409.6 B | ||
| 005 KMeans- Clustering.mp4 | 63.1 MB | ||
| 005 KMeans- Clustering_en.srt | 12.3 KB | ||
| 005 Project - ChatBot.mp4 | 72 MB | ||
| 005 Project - ChatBot_en.srt | 8 KB | ||
| 005 Project - Content Based Recommender System.mp4 | 33.4 MB | ||
| 005 Project - Content Based Recommender System_en.srt | 5.5 KB | ||
| 005 Project - Diabetes prediction.mp4 | 71.3 MB | ||
| 005 Project - Diabetes prediction_en.srt | 15.8 KB | ||
| 005 Project - Handling DataFrame.mp4 | 56.5 MB | ||
| 005 Project - Handling DataFrame_en.srt | 10.5 KB | ||
| 005 Project - Image Classification.mp4 | 77.4 MB | ||
| 005 Project - Image Classification_en.srt | 12.5 KB | ||
| 005 Project - Market Basket Analysis.mp4 | 43 MB | ||
| 005 Project - Market Basket Analysis_en.srt | 6.3 KB | ||
| 005 Project - Movie Recommendation.mp4 | 45 MB | ||
| 005 Project - Movie Recommendation_en.srt | 8.7 KB | ||
| 005 Project - Sentiment Analysis.mp4 | 54.2 MB | ||
| 005 Project - Sentiment Analysis_en.srt | 7.3 KB | ||
| 005 Project - Weight Prediction.mp4 | 85.5 MB | ||
| 005 Project - Weight Prediction_en.srt | 14.2 KB | ||
| 005 Project Description.mp4 | 25.5 MB | ||
| 005 Project Description_en.srt | 1.7 KB | ||
| 005 Project Functions.mp4 | 99.6 MB | ||
| 005 Project Functions_en.srt | 12.2 KB | ||
| 005 Research Work.html | 204.8 B | ||
| 005 Transactions.txt | 512 B | ||
| 005 house-prices-201107-160927.csv | 1.7 MB | ||
| 005 imdb-movie-reviews-201222-222940.csv | 84.7 KB | ||
| 005 mtcars-201119-163011.csv | 1.7 KB | ||
| 005 newdata-201119-162852.csv | 614.4 B | ||
| 005 user-ratings-201104-154032.csv | 102.4 B | ||
| 006 Class summary.mp4 | 26.9 MB | ||
| 006 Class summary_en.srt | 1.7 KB | ||
| 006 Class-summary.pdf | 625.1 KB | ||
| 006 Customer-Segmentation-201222-130302.csv | 2.4 KB | ||
| 006 Extra Challenge.html | 614.4 B | ||
| 006 Iris flower - prediction.mp4 | 68.3 MB | ||
| 006 Iris flower - prediction_en.srt | 7.9 KB | ||
| 006 Project Description.mp4 | 19.5 MB | ||
| 006 Project Description_en.srt | 3.1 KB | ||
| 006 Summary.mp4 | 22.1 MB | ||
| 006 Summary_en.srt | 1.2 KB | ||
| 006 iris-201119-162910.csv | 4.5 KB | ||
| 007 Class summary.mp4 | 24.5 MB | ||
| 007 Class summary_en.srt | 1.5 KB | ||
| 007 Class-summary.pdf | 428.6 KB | ||
| 007 Extra Challenge.html | 921.6 B | ||
| 007 Fish-201222-125700.csv | 5.9 KB | ||
| 007 Linear Regression.mp4 | 24.1 MB | ||
| 007 Linear Regression_en.srt | 5.1 KB | ||
| 007 Mobilefeatures-201222-130729.csv | 3.9 KB | ||
| 007 StudentsPerformance-201222-124851.csv | 55.7 KB | ||
| 007 iris-petallenvspetalwidth-201222-130206.csv | 2 KB | ||
| 007 spam-201222-131238.csv | 468.9 KB | ||
| 007 titanic-201222-125914.csv | 59.8 KB | ||
| 008 Extra Challenge.html | 409.6 B | ||
| 008 Project - Salary Prediction.mp4 | 51.7 MB | ||
| 008 Project - Salary Prediction_en.srt | 9.7 KB | ||
| 008 hiring-salaries-201119-162808.csv | 204.8 B | ||
| 008 iris-201222-130035.csv | 4.5 KB | ||
| 009 Class summary.mp4 | 25.9 MB | ||
| 009 Class summary_en.srt | 1.6 KB | ||
| 009 Class-summary.pdf | 464.9 KB | ||
| 010 Extra Challenge.html | 614.4 B | ||
| 010 homeprices-201222-125404.csv | 102.4 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| external-assets-links.txt | 102.4 B | ||
| ▲ 240 total files | |||
The Introduction of AI and Machine Learning with Python
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 106 lectures (5h 26m) | Size: 2.8 GB
Learn Data Science, Machine Learning (Artificial Intelligence), Deep Learning & more from the absolute basics!
What you'll learn
Define and understand the meaning of AI and machine learning and explore their applications
Handling Data Frames by learning various tasks including (data exploration, visualization and cleaning)
Understand and create various Supervised Learning algorithms
Understand and create various Unsupervised Learning algorithms
Understand and build recommendation systems
Understand and create NLP (Natural Language Processing) systems
Define and understand Deep Learning in computer vision
Requirements
Previous programming knowledge. Python recommended.
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| 784.3 MB | freecoursewb | 1 week | 18 | 6 | |
| 2.2 GB | freecoursewb | 1 week | 0 | 0 | |
| 3.7 GB | freecoursewb | 1 week | 0 | 0 | |
| 3.3 GB | freecoursewb | 1 week | 24 | 16 | |
| 410.6 MB | freecoursewb | 1 week | 21 | 8 |
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