Machine Learning Algorithms Every Data Scientist Must Know
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
Machine Learning Algorithms are divided into Three Categories :
1. Classification
Decision Tree
Naive Bayes
K-nearest Neighbors
Support Vector Machine
Passive Aggressive Classifier
2. Clustering
K Means Clustering
DBSCAN Clustering
Agglomerative Clustering
BIRCH Clustering
Affinity Clustering
Spectral Clustering
3. Regression
Linear Regression
Logistic Regression
Decision Tree Regression
Random Forest
Ridge Regression
Lasso Regression
Passive Aggressive Regression
