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### Machine Learning with Python Training (beginner to advanced)

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

### What you'll learn?

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

### Requirements and What you should know?

- Enthusiasm and determination to make your mark on the world!

### Who is this course for?

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

### What is this course about?

**Machine Learning with Python - Course Syllabus**

**1. 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

**2. Types of Machine Learning**

Types of Machine Learning

a) Supervised learning

b) Unsupervised learning

c) Reinforcement learning

Difference between Supervised and Unsupervised learning

Summary

**3. Components of Python ML Ecosystem**

Using Pre-packaged Python Distribution: Anaconda

Jupyter Notebook

NumPy

Pandas

Scikit-learn

**4. Regression Analysis (Part-I)**

Regression Analysis

Linear Regression

Examples on Linear Regression

scikit-learn library to implement simple linear regression

**5. Regression Analysis (Part-II)**

Multiple Linear Regression

Examples on Multiple Linear Regression

Polynomial Regression

Examples on Polynomial Regression

**6. Classification (Part-I)**

What is Classification

Classification Terminologies in Machine Learning

Types of Learner in Classification

Logistic Regression

Example on Logistic Regression

**7. 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

**8. 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

**9. Clustering (Part-II)**

Hierarchical Clustering

Agglomerative Hierarchical clustering and how does it work

Woking of Dendrogram in Hierarchical clustering

Implementation of Agglomerative Hierarchical Clustering

**10. Association Rule Learning**

Association Rule Learning

Apriori algorithm

Working of Apriori algorithm

Implementation of Apriori algorithm

**11. Recommender Systems**

Introduction to Recommender Systems

Content-based Filtering

How Content-based Filtering work

Collaborative Filtering

Implementation of Movie Recommender System

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