Python_ka_chilla (python in 40 days in urdu/Hindi) - 45- Classification in Machine Learning (Zoom Session)-Day-21

Machine Learning helps you build models that can make predictions and take decisions of their own. This video on Types of Machine Learning and Algorithms will make you understand what Machine Learning is and the several types of Machine Learning. This video explains the K nearest neighbors in Machine Learning python and scikit-learn library. The other types are in the next videos in the same playlist: -Supervised Machine Learning and its algorithms Logistic Regression. K-Nearest Neighbors(K-NN) Support Vector Machine (SVM) Kernel SVM. Naive Bayes Decision Tree Classification. Random Forest Classification -unsupervised Machine Learning and its algorithms K-Means Clustering Hierarchical Clustering. Probabilistic Clustering -semisupervised Machine Learning and its algorithms -Reinforcement Machine Learning and its algorithms Model-Free Reinforcement Learning. Policy Optimization. Q-Learning Model-Based Reinforcement Learning. Learn the Model Given the Model. To join our course: https://t.me/+-WQcbjQGhsUyZjBk This course revolves around the basic concepts of using Python for Data Science in Urdu and Hindi language. The target audience for this course in Pakistani National working in data Science or the beginners who want to learn this complete course via registration process. You can register any time with the following link: https://forms.gle/cS4KCZ6veQ1LtpFB8 only if you are interested in this 40 days long course (python_ka_chilla with baba_aammar. More about me: I am Dr Aammar Tufail, your instructor in Python_ka_chilla. My aim is to train people in Data Science, machine learning, artificial intelligence, and deep learning by the end of the year (2022). If you are keen to learn from this complete course, then here is the playlist for the course: https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI If you want to learn Data Science with R here is the completed and uploaded course in urdu, link: https://youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS If you have any questions, you can always write in the comment section of the video, you have a question about. #DataScience #artificailIntelligence #deeplearning #machinelearning #python #python_ka_chilla #baba_aammar #supervised_machine_learning #unsupervised_machines learning #semi_supervised_machine_learning #reinforcement_machine_learning Chapter: 00:00:00 Intro to Data to be used 00:01:13 Import and set our Data 00:05:37 ML algorithm 00:08:02 Testing model accuracy 00:15:30 saving a trained model 00:17:47 graphical representation of trained model 00:22:47 Summary