Machine Learning using Python - Python Best Courses

Machine Learning using Python – Python Best Courses

This training is an introduction to the concept of machine learning, its algorithms, and application using Python.

What you’ll learn

Machine Learning using Python – Python Best Courses

Understand Decision Trees, Random Forest, Neural Networks, K-Means Clustering, Apriori algorithm
Learn about Classification Algorithms, Regression Algorithms, Linear Regression, Logistic Regression, Naive Bayes Classifier.

Requirements

No prior knowledge of machine learning required
Basic knowledge of Python

Description

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

The training will include the following;

Analytics Defined (Predictive, Prescriptive, etc.,)
Data Mining Flow(Phases defined – with MOdeling phase that involves ML)
Explanation of Data Set
Supervised Learning
Unsupervised Learning
Classification Algorithms
Regression Algorithms
Linear Regression
Logistic Regression
Naive Bayes Classifier
Anonymous Detection
Decision Trees
Random Forest
Neural Networks
K-Means Clustering
Apriori algorithm
Feature Selection
Support Vector Machine
Basic explanation on Use Cases
Basic Functions defines (Cost function, likelihood function, normalization, trade-off, etc.,)
Primary tools/ Softwares used for ML
Python Package