## Short Description

Deep dive into Machine Learning with Python Programming. Implement practical scenarios & a project on Recommender System

### What you’ll learn

- Deep dive into the world of Machine Learning (ML)
- Apply Python for Machine Learning programs
- Understand what is ML, need for ML, challenges & application of ML in real-life scenarios
- Types of Machine Learning
- Components of Python ML Ecosystem
- Anaconda, Jupyter Notebook, NumPy, Pandas, Scikit-learn
- Regression analysis
- scikit-learn Library to implement Simple Linear Regression
- Multiple Linear Regression and Polynomial Regression
- Logistic Regression
- What is Classification, Classification Terminologies in Machine Learning
- What is KNN? How does the KNN algorithm work?
- What is a Decision Tree and Implementation of Decision Tree
- SVM and its implementation
- What is Clustering and Applications of Clustering
- Clustering Algorithms
- K-Means Clustering and K-Means Clustering algorithm example
- Hierarchical Clustering
- Agglomerative Hierarchical clustering and how does it work
- Woking of Dendrogram in Hierarchical clustering
- Implementation of Agglomerative Hierarchical Clustering
- Association Rule Learning
- Apriori algorithm and Implementation of Apriori algorithm
- Introduction to Recommender Systems
- Content-based Filtering
- Collaborative Filtering
- Implementation of Movie Recommender System

### This course includes:

- 24 hours on-demand video
- 19 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
- Enthusiasm and determination to make your mark on the world!

## Description

Machine Learning with Python – Course Syllabus

- Introduction to Machine Learning

What is Machine Learning?

Need for Machine Learning

Why & When to Make Machines Learn?

Challenges in Machines Learning

Application of Machine Learning

- Types of Machine Learning

Types of Machine Learning

```
a) Supervised learning
b) Unsupervised learning
c) Reinforcement learning
```

Difference between Supervised and Unsupervised learning

Summary

- Components of Python ML Ecosystem

Using Pre-packaged Python Distribution: Anaconda

Jupyter Notebook

NumPy

Pandas

Scikit-learn

- Regression Analysis (Part-I)

Regression Analysis

Linear Regression

Examples on Linear Regression

scikit-learn library to implement simple linear regression

- Regression Analysis (Part-II)

Multiple Linear Regression

Examples on Multiple Linear Regression

Polynomial Regression

Examples on Polynomial Regression

- Classification (Part-I)

What is Classification

Classification Terminologies in Machine Learning

Types of Learner in Classification

Logistic Regression

Example on Logistic Regression

- Classification (Part-II)

What is KNN?

How does the KNN algorithm work?

How do you decide the number of neighbors in KNN?

Implementation of KNN classifier

What is a Decision Tree?

Implementation of Decision Tree

SVM and its implementation

- Clustering (Part-I)

What is Clustering?

Applications of Clustering

Clustering Algorithms

K-Means Clustering

How does K-Means Clustering work?

K-Means Clustering algorithm example

- Clustering (Part-II)

Hierarchical Clustering

Agglomerative Hierarchical clustering and how does it work

Woking of Dendrogram in Hierarchical clustering

Implementation of Agglomerative Hierarchical Clustering

- Association Rule Learning

Association Rule Learning

Apriori algorithm

Working of Apriori algorithm

Implementation of Apriori algorithm

- Recommender Systems

Introduction to Recommender Systems

Content-based Filtering

How Content-based Filtering work

Collaborative Filtering

Implementation of Movie Recommender System

### Who this course is for:

- Data Scientists and Senior Data Scientists
- Machine Learning Scientists
- Python Programmers & Developers
- Machine Learning Software Engineers & Developers
- Computer Vision Machine Learning Engineers
- Beginners and newbies aspiring for a career in Data Science and Machine Learning
- Principal Machine Learning Engineers
- Machine Learning Researchers & Enthusiasts
- Anyone interested to learn Data Science, Machine Learning programming through Python
- AI Specialists & Consultants
- Python Engineers Machine Learning Ai Data Science
- Data, Analytics, AI Consultants & Analysts
- Machine Learning Analysts

** Also Enroll in** 163 HOUR UNITY COURSE (Expiring Soon)