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Lecture 5 | AI Free Basic Course

Free Artificial Intelligence Basic Course

The AI course is entirely free. Live classes are held every Tuesday and Wednesday on Facebook and YouTube from 7:30 to 9:30 p.m. Recorded lectures will be uploaded to the YouTube channel. 👉 For free online courses, Visit Irfan Malik's channel: http://youtube.com/@muhammadirfanmalik Much more: Facebook: https://www.facebook.com/iamirfansaeedmalik/ Facebook Groups Freelancing Group: https://www.facebook.com/groups/2763770613931485/ AI Group: https://www.facebook.com/groups/1721947284991964/ Instagram: https://www.instagram.com/iamirfanmalikofficial/ LinkedIn: https://www.linkedin.com/in/muhammadirfanmalik/ Twitter: https://twitter.com/irfan_malikx Tiktok: http://www.tiktok.com/@irfansaeedmalikofficial WhatsApp Community: https://chat.whatsapp.com/LF7slkNLrukD8Eg9wBRavN #irfanmalik #xevensolutions #xevenai #xevenskills #muhammadirfan #hopetoskills #freecourses #chatgpt #chatgpt3 #freeonlinecourses #technology #ai #artificialintelligence

About the course

This course is entirely free. You can register for this course at: https://xevenskills.com/courses/free-artificial-intelligence-learning-course/ Learning outcome: - Understanding of the fundamentals of artificial intelligence and its various applications. - Familiarity with popular AI tools like ChatGPT, DALL-E, and Stable Diffusion. - Proficiency in Python programming language and its data structures, control statements, functions, and classes. - Knowledge of different types of machine learning, their applications, and the difference between supervised, unsupervised, semi-supervised, and reinforcement learning. - Understanding of machine learning models, datasets, data preprocessing, training, testing, and evaluation metrics. - Familiarity with different machine learning frameworks and their usage in creating structured data models. - Knowledge of data visualization techniques using Matplotlib, Seaborn, and Plotly libraries. - Familiarity with Hugging Face library and its usage in NLP tasks like text classification, NER, and sentiment analysis. Note: Kindly, be advised that we are not offering this course for sale on any other platform. We appreciate your commitment to learning and caution against unauthorized attempts to commercialize our content.