GridSearchCV | Grid Search - Hyper Parameter Tuning | Scikit Learn Tutorial | Intellipaat

🔥Enroll for Machine Learning Course and Get Yourself Job Ready: https://intellipaat.com/machine-learn... #GridSearchCV #GridSearch #HyperParameterTuning #ScikitLearnTutorial #Intellipaat In this video, we will focus on one of the hyperparameter tuning techniques known as “Grid Search”. We will begin by performing feature engineering using pandas and then proceed to model training using the scikit-learn library. After that, we will choose a machine-learning model and we will optimize that machine-learning model by testing different combinations or performing hyperparameter tuning using GridSearchCV. 🔵 Following topics are covered in this session: 00:00 - Introduction 00:30 - Feature Engineering 08:18 - Model Training 12:11 - What are Hyperparameters? 13:44 - What is Grid Search? 15:00 - How does Grid Search Work? 16:24 - Hyperparameter tuning using GridSearchCV ✅ What is a GridSearchCV? GridSearchCV is a method for finding the optimal combination of hyperparameters for a machine-learning model. It systematically tries out different combinations of hyperparameter values and selects the one that produces the best performance on the training data. ✅ What is hyperparameter tuning in ML? Hyperparameter tuning is like fine-tuning a machine learning model's knobs and dials to get the best results. It involves adjusting settings that control the model's learning process, such as the number of training examples or the complexity of the model. ✅ What are the methods of hyperparameter tuning? There are three methods for hyperparameter tuning: grid search, random search, and Bayesian optimization. Grid Search CV meticulously evaluates all combinations of hyperparameter values, Random Search CV randomly samples combinations, Bayesian Optimization guides the search probabilistically, and Manual Search requires manual experimentation. ➡️ About the Course Explore this Machine Learning course taught by IIT Madras faculty and industry experts that will help you master Machine Learning algorithms. This ML certification training will help you master Python, machine learning algorithms, statistics, and AI skills. Enroll in this training course and get your Machine Learning certification from IITM Pravartak. ➡️Who should take this course? Experts have designed our ML course so that anyone, from a fresher/undergraduate or undergrad to a professional seeking a career change, can benefit from it. ✅ Key Features - (Course Features) 👉🏼50+ Live sessions across seven months 👉🏼218 Hrs Self-paced Videos 👉🏼200 Hrs Project & Exercises 👉🏼Learn from IIT Madras Faculty and Industry Practitioners 👉🏼1:1 with Industry Mentors 👉🏼Resume Preparation and LinkedIn Profile Review 👉🏼24*7 Support 👉🏼No-cost EMI Option What’s Covered in This Program? - ✅Preparatory Session - Linux and Python ✅Data Wrangling with SQL ✅Python With Data Science ✅Linear Algebra and Advanced Statistics ✅Machine Learning ✅Supervised and Unsupervised Learning in ML ✅Performance Metrics ✅Deep Learning Using TensorFlow ✅Data Science Capstone Project ✅Business Case Studies 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ⏩ Salesforce Playlist:    • Salesforce Training Videos for Beginners   ▶️ Intellipaat Achievers Channel:    / @intellipaatachievers   🚀 Intellipaat Advanced Certifications 🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanced-cert... 🌕 Advanced Certification in Data Science: https://intellipaat.com/advanced-cert... 🌕 Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-developme... 🌕 Advanced Certification in UI UX Design: https://intellipaat.com/UI-UX-course-... 🌕 Advanced Certification in Electric Vehicle Design: https://intellipaat.com/advanced-cert... 📌Website: https://intellipaat.com/ 📌Facebook:  / intellipaatonline   📌Telegram: https://t.me/s/Learn_with_Intellipaat 📌Instagram:   / intellipaat   📌LinkedIn:   / intellipaat-software-solutions   📌Twitter:   / intellipaat   📚For more information, please write back to us at [email protected] or call us at IND: 7847955955 / USA: 1-800-216-8930