Top 10 Machine Learning Algorithms to Become a Data Scientist | Data Science Tutorial | Acadgild

Top 10 Machine Learning Algorithms to Become a Data Scientist

Hello and Welcome to Data Science tutorial powered by Acadgild. In this video, you will be able to learn the top 10 machine learning algorithms to learn to become a data scientist.
In this tutorial, we will be looking at more algorithm side of it with relation to the particular task. The can be about classification, regression, and clustering. Clustering is part of your unsupervised learning, regression and classification is the part of supervised learning.

Classification Algorithms help us to differentiate one group from rest of the observations and there are various algorithms.

Classification Algorithms will have:
• Support Vector Machines
• Discriminant Analysis
• Naïve Bayes
• Nearest Neighbour
• Neural Networks

Regression algorithms will have:
• Linear Regression, GLM
• SVR, GPR
• Decision Trees
• Ensemble Methods
• Neural Networks

Clustering Algorithms will have:
• K-Means, K-Medoids Fuzzy C-Means
• Hierarchical Model
• Gaussian Mixture
• Hidden Markov Model
• Neural Networks

Go through the entire video to learn more about Mean median mode. And stay tuned for next session.
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