Udemy - Artificial Intelligence Projects with Python (updated 9 - 2021)

Artificial Intelligence Projects with Python (updated 9/2021)



Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.65 GB | Duration: 4h 56m
Master Artificial Intelligence by Building 12 Machine Learning & Deep Learning Projects with Python (2021)
What you'll learn
You will practice Machine Learning and Deep Learning Algorithms by solving real life problems using latest version of libraries (July 2021)
How to use Machine Learning and Deep learning algorithms in different difficulty level projects using Python
NLP (Natural Language Processing) Implementation using Python
Image Classificiation Implementation using Deep Learning
Time Series Prediction Implementation suing Python and Keras Tensorflow
Clustering, Regression and Classification Algorithms Implementation using Python
All 11 downloadable projects include Python source code that is composed of Machine Learning & Deep Learning Algorithms and models
IMDB Sentiment Analysis using Machine Learning
Transfer Learning Implementation using InceptionResNetV2
Artificial Neural Networks Implementation using Python
Well known datasets used in Artificial Intelligence education

Description
Welcome,

In this course, we aim to specialize in artificial intelligence by doing Machine Learning and Deep Learning Projects at various levels. Before starting the course, you must have basic Python knowledge. Our aim in this course is to turn real-life problems that seem difficult to do into projects and then solve them using latest versions of artificial intelligence algorithms and Python(3.8). This course was prepared in July 2021.

We will carry out some of our projects using machine learning and some using deep learning algorithms. In this way, you will have a general perspective on artificial intelligence. When you complete the projects in our course, you will get a clear understanding of the basic working principles of Machine Learning software and Deep Learning algorithms and the difference between them.