No Machine learning algorithm is better than another. Depending on the problem statement or the dataset, we have to find a better algorithm that suits us.
If it is a regression task, then try Linear regression, Decision Trees, Random Forest, KNN, etc.
If it is a classification task, then try Logistic regression, Random forest, XGboost, AdaBoost, SVM, etc.
If it is the unsupervised task, then try clustering algorithms like the K-means algorithm.
Try out these models and use performance metrics to validate your model and find out which model is best for your case. But, if you don’t know what to try first then go for the Random Forest model.
You can check out this Machine Learning Online Course by Intellipaat which has experienced instructors, best curriculum, and projects.
Also, watch this video on Machine Learning Algorithms:
Back