Learn Drug Designing with Python and AI udemy video course download, machine learning for drug discovery and Upon completion, you will be able to identify, fetch, and filter your data. In addition to a basic introduction, you will also be able to define and compile your own ANN model and use it for fitting and evaluation on your data. With the help of this course, you will learn computer-aided drug design methods in computational medicinal chemistry.
What you’ll learn
- Get ready to be introduced to Google Colab, the powerful, cloud-based tool that revolutionizes the way you run Python code for data analysis
- Learn how to effortlessly fetch data from bioassay databases, specifically ChEMBL, with Google Colab.
- Discover the world of Google Colab with a detailed introduction to its rich collection of drug designing notebooks.
- Get ready to dive into the fascinating world of Artificial Neural Network Models and unlock their potential with hands-on learning.
- Learn how to define, compile, fit, and evaluate your models with step-by-step training.
- Finally, learn how to test unknown compounds on your trained model and unlock new insights with ease.
- In the closing session, I’ll provide future research directions to guide your continued exploration and innovation!
Course content
- Introduction
- Data Retrieval and Processing
- Artificial Neural Network Model in Drug Desgning
- Future Research Directions
Course details
- Video quality: MP4 | Video: h264, 1280 × 720
- Audio quality: Audio: AAC, 44.1 KHz, 2 Ch
- Video duration: 2h 16m
- Number of lessons: 4 sections, 6 lectures
- Language: English
- Compressed file size: 1.35 GB