Welcome to the Real-World Machine Learning Projects Series. Here we will learn about machine learning algorithms by working on different real life datasets. I will explain everything. If we will machine learning by doing practical examples then it’s easy to understand. Here is the list of machine learning algorithms.

Supervised Machine Learning

Regression related problems

We will perform following algorithms for regression related real-world machine learning projects.

1. Linear Regression
2. Support Vector Regressor
3. Decision Tree Regressor
4. Random Forest Regressor
5. Gradient Boosting Regressor

For Classification related problems

1. Logistic Regression
2. Decision Tree Classifier
3. Random Forest Classifier
4. K-Nearest Neighbor
5. XG Boost

Un-Supervised Machine Learning

Clustrering

1. K-Means Clustering
2. Agglomerative Hierarchical Clustering
3. DBSCAN Clustering