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Machine Learning Made Easy : Hands-on Python

Hands-on Machine Learning

Added on November 23, 2020 Development Verified on January 19, 2021

What you’ll learn

• Applications of Machine Learning to various data, Unsupervised Learning, Supervised Learning

Requirements

• working knowledge of python

Description

The course covers Machine Learning in exhaustive way. The presentations and hands-on practical are made such that it’s made easy. The knowledge gained through this tutorial series can be applied to various real world scenarios.

UnSupervised Learning and Supervised Learning are dealt in-detail with lots of bonus topics.

The course contents are given below:

• Introduction to Machine Learning

• Introductions to Deep Learning

• Installations

• Unsupervised Learning

• Clustering, Association

• Agglomerative, Hands-on

• DBSCAN, Hands-on

• Mean Shift, Hands-on

• K Means, Hands-on

• Association Rules, Hands-on

• Supervised Learning

• Regression, Classification

• Train Test Split, Hands-on

• k Nearest Neighbors, Hands-on

• kNN Algo Implementation

• Support Vector Machine (SVM), Hands-on

• Support Vector Regression (SVR), Hands-on

• SVM (non linear svm params), Hands-on

• SVM kernel trick, Hands-on

• SVM mathematics

• Linear Regression, Hands-on

• Gradient Descent overview

• One Hot Encoding (Dummy vars)

• One Hot Encoding with Linear Regr, Hands-on

• Info about Datasets

Author(s): Shrirang Korde