Machine Learning Full Course with Projects (2025) | Machine Learning Tutorial in One Video - Part-2

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Machine Learning Full Course with Projects (2025) | Machine Learning Tutorial in One Video - Part-2 🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: - 00:00:00 Machine Learning Course Intro - 00:01:46 Decision Tree (Classification) - 00:24:24 Decision Tree (Classification) Practical - 00:46:23 Pre and Post Pruning in Decision Tree - 00:57:41 Decision Tree (Regression) - 01:10:58 K-Nearest Neighbours (Classification) - 01:22:03 K-Nearest Neighbours (Classification) Practical - 01:37:25 K-Nearest Neighbours (Regression) - 01:48:06 Support Vector Machines(SVM) - Classification - 02:09:25 Support Vector Machines(SVM) - Classification Practical - 02:24:55 Support Vector Machines(SVM) - Regression - 02:39:52 Model Parameter, Hyperparameter, and Tuning - 02:54:07 GridSearchCV & RandomizedSearchCV Practical - 03:07:39 Cross-Validation in Machine Learning - 03:25:46 Cross-Validation in Machine Learning Practical - 03:37:17 Unsupervised Learning - 03:44:04 K-means Clustering - 04:02:27 K-means Clustering Practical - 04:21:53 Hierarchical Clustering - 04:43:15 Agglomerative Hierarchical Practical - 04:57:58 DBSCAN Clustering Algorithm - 05:07:38 DBSCAN Clustering Algorithm Practical - 05:17:33 Silhouette Score - 05:35:19 Association Rule Learning - 05:52:18 Apriori Algorithm Learning - 06:07:18 Apriori Algorithm (Association Rule) Practical - 06:33:19 Frequent Pattern Growth Algorithm (Association Rule) Learning - 06:48:34 Frequent Pattern Growth Algorithm (Association Rule) Practical - 06:57:41 Ensemble Learning - 07:05:11 Max Voting, Averaging & Weighted Average Voting - 07:15:34 Max Voting, Averaging & Weighted Average Voting (Regression Practical) - 07:32:24 Max Voting, Averaging & Weighted Average Voting (Classification Practical) - 07:44:19 Bagging (Bagging meta-estimator, Random forest) - 07:52:54 Bagging (Bagging meta-estimator, Random forest) (Classification Practical) - 08:02:38 Bagging (Bagging meta-estimator, Random forest) (Regression Practical) WsCube Tech is a Vernacular Upskilling platform revolutionizing the way you learn and develop your career skills.🚀 WsCube Tech stands out as a leading EdTech platform, offering comprehensive education in Python, Machine Learning, and various Data Science skills. Our approach involves both online and classroom training, featuring hands-on projects delivered practically by seasoned industry experts. With WsCube Tech, you'll gain hands-on skills that make you globally competitive. Our courses are designed to prepare over 100 million career aspirants for the 'Bharat' of the future. 😊 👉 Want to learn and acquire skills in English? Visit WsCube Tech English channel: 📌 𝗩𝗼𝘁𝗲 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝘃𝗶𝗱𝗲𝗼: Watch Now our Trending App Development Playlist & Videos: 👉 Learn Python Programming in One Video - 👉 DSA Full Course - 👉 20 Python Projects in One Video - 👉 Excel Full Course for Data Analysis - For any queries, call us on: +91-7878985501 ✅ CONNECT WITH THE FOUNDER (Mr. Kushagra Bhatia) - 👉 Instagram - 👉 LinkedIn - 👉 Facebook - Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more: 😄 Facebook: 🐦 Twitter: 📱 Instagram: 👨🏻‍💻 LinkedIn: 🔺 Youtube: 🌐 Website: --------------------------------------| Thanks |--------------------------- #machinelearning #mlcourse #machinelearningcourse