Machine Learning with Python Training (beginner to advanced)

Machine Learning with Python Training (beginner to advanced), Deep dive into Machine Learning with Python Programming. Implement practical scenarios & a project on Recommender System

Created by Uplatz Training

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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