Mastering Probability and Statistics in Python - Feature Selection in Machine Learning | Filter Method & Python Implementation

Course link: https://aicourse.thinkific.com/courses/feature-engineering-and-dimensionality-reduction-with-python 00:00 – Feature Selection Methods 02:36 – Filter Methods 07:17 – Python Implementation of Filter Method In this video, we dive into feature selection in machine learning with a special focus on the filter method and its Python implementation using Scikit-Learn. You will learn why feature selection is a crucial step in reducing dimensionality and improving model performance, along with how different approaches such as filter, wrapper, and embedded methods differ from each other. After covering the theory, we move into a hands-on Python demo using a real dataset from the UCI Machine Learning Repository, where we implement the SelectKBest technique to rank, score, and select the most important features out of thousands. By the end of this tutorial, you will clearly understand how filter methods work, how to apply them for preprocessing in classification tasks, and how they fit into the broader scope of feature engineering and dimensionality reduction. This session is part of the course “Introduction to Feature Engineering and Dimensionality Reduction” and is designed to help beginners and intermediate learners strengthen their skills in machine learning, feature engineering, and data preprocessing. ✅ Stay Connected to Us. 👉 Twitter: https://twitter.com/AISciencesLearn 👉 Facebook: https://www.facebook.com/AISciencesLearn 👉 LinkedIn: http://www.linkedin.com/company/ai-sciences 👉 Website: http://www.aisciences.io ✅ For Business Inquires: contact@aisciences.io ============================= ✅ Important Python Projects: 👉 Get a look at our course on data science and AI here: https://bit.ly/3thtoUJ 👉 The Python Codes are available at this link: https://www.aisciences.academy/ytube-cfd ✅ Recommended Playlists: 👉 Artificial Intelligence https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj 👉 Machine Learning https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l ✅ Other Videos You Might Be Interested In Watching: 👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E 👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial https://www.youtube.com/watch?v=t_qDAqUfqhY 👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners https://www.youtube.com/watch?v=dJO69JzldmQ 👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python https://www.youtube.com/watch?v=s4rV6Wyp23A ============================= ✅ About AI Sciences. AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars. We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience. 🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn ================================= #predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research. Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided. © AI Sciences