Machine Learning - Scikit - Learn Library of Python

Scikit-Learn is one of the most powerful and widely used libraries for Machine Learning in Python. In this video, we explore all the essential classes that make model building, evaluation, and deployment easier. Topics Covered: 1. Datasets (iris, digits and wine) 2. Data Preprocessing (StandardScaler,, LabelEncoder, OneHotEncoder) 3. Model Selection (train_test_split, Cross Validation) 4. Supervised Learning Models (Linear Regression, LogisticRegression, RandomForestClassifier, Ensemble Learning) 5. Unsupervised Learning Models (KMeans) 6. Performance Evaluation (R-square score, accuracy_score) 7. Feature Selection (SelectKBest) This video will give you a understanding of how to use Scikit-Learn effectively. By Dr. Waheeduddin Hyder