Artificial Intelligence (AI) is one of the hottest fields in computer science right now and has taken the world by storm as a major field of research and development. Python has surfaced as a dominant language in AI/ML programming because of its simplicity and flexibility, in addition to its great support for open source libraries such as Scikit-learn and Keras.
This video course is built for Rookie AI enthusiasts across eight realistic projects, and covers modern techniques that make up the world of Artificial Intelligence (AI). You will start with your first project that covers decision trees for classifying data using Scikit-learn libraries. Next, you will build a classifier using random forests. You will then learn about text processing techniques and practise with bag-of-words and word2vec models. Further, you will be introduced to deep learning and neural networks and practise with projects that make use of Keras and convolutional neural networks.
This course comes along with a community - Python Artificial Intelligence Projects for Beginners. Once you purchase the course, you become a part of this community. You can enhance your learning by participating in the discussion threads, raise queries and get solutions through the community in quick time. You can also share your own ideas, access best practices shared by peers, get ideas about the next learning topics to complete your study. You may also participate in the ongoing discussion forums to raise and clear your doubts. You are also encouraged to go through all the topics of the course in detail and post your queries in the applicable comments section of the community. The moderator of the community will get back to you within a short time.
By the end of this video course, you will be confident to build your own AI projects with Python and be ready to take up more advanced content as you go ahead.
Basic working knowledge of Python programming is expected so that you can play around with the code.