ML Algorithms

The best way to master machine learning algorithms is to work with the Scikit-Learn framework. Scikit-Learn contains predefined algorithms and you can work with them just by generating the object of the class. These are the algorithm you must know including the types of Supervised and Unsupervised Machine Learning:

• Linear Regression
• Logistic Regression
• Decision Tree
• Gradient Descent
• Random Forest
• Ridge and Lasso Regression
• Naive Bayes
• Support Vector Machine
• KMeans Clustering

Other Concepts and Topics for ML

• Measuring Accuracy
• Bias-Variance Trade-off
• Applying Regularization
• Elastic Net Regression
• Predictive Analytics
• Exploratory Data Analysis