Machine Learning Basics: Everything You Need to Know - Part 2 | Machine Learning Mastery

Unlock the fundamentals of machine learning in Part 2 of our comprehensive series. Dive into essential concepts, algorithms, and techniques that form the foundation of machine learning. Whether you're new to the field or looking to refresh your knowledge, this video provides a comprehensive overview to help you get started on your machine learning journey. Watch now and embark on your path to mastering machine learning! #machinelearning #datascience #artificialintelligence #ml #ai Things which are going to be discussed in this live: 1. Dimensionality reduction: Principal Component Analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE) 2. Evaluation Metrics: • Regression: Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared • Classification: Accuracy, Precision, Recall, F1-score, ROC curve, AUC-ROC 3. Model Selection and Tuning: • Cross-validation • Hyperparameter tuning techniques (grid search, random search, Bayesian optimization) 4. Deep Learning: • Introduction to neural networks • Convolutional Neural Networks (CNNs) for image recognition • Recurrent Neural Networks (RNNs) for sequential data • Transfer learning and pre-trained models 5. Machine Learning Projects: • Identifying and defining the problem statement • Data exploration and visualization • Feature engineering and selection • Model building and evaluation • Deployment and maintenance Follow Us: Instagram: https://instagram.com/theeducationdiary LinkedIn: https://linkedin.com/company/theeducationdiary/ Facebook: https://facebook.com/theeducationdiary Twitter: https://twitter.com/TEducationdiary Education Diary is an Ed-tech startup founded by a group of students and working professionals to revolutionize education. Our primary focus on this channel is on learning essential life skills that everyone should have. We're introducing courses in science, business, and arts. We'll also discuss life, careers, and various other topics. We are actively engaging with seasoned experts in order to benefit from their expertise and share them with our viewers. Things which are going to be discussed: Machine learning Data science Artificial intelligence Machine learning basics Machine learning algorithms Machine learning techniques Machine learning tutorial Introduction to machine learning ML AI