## 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

#### Who this course is for:

- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
- Content From: https://www.udemy.com/course/machine-learning-using-python/
- Machine Learning, Data Science

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