Ementorhub

What you'll learn

Explore machine learning algorithms, including supervised, unsupervised, and semi-supervised methods.

Apply decision trees, random forests, and K-means clustering for classification and clustering.

Develop machine learning models to gain insights and make predictions from real-world data.

Enhance model accuracy by applying model-boosting techniques and evaluating their effectiveness.

Skills you'll gain

Data-Driven Decision-Making

Analytics

Machine Learning

Statistical Methods

Classification And Regression Tree (CART)

Predictive Modeling

Supervised Learning

Applied Machine Learning

Unsupervised Learning

Statistical Modeling

Python Programming

Statistical Analysis

Decision Tree Learning

Scikit Learn (Machine Learning Library)

Regression Analysis

Data Mining

Random Forest Algorithm

Machine Learning Algorithms

Feature Engineering

Dimensionality Reduction

There are 4 modules in this course

By the end of this course, you’ll be able to: - Explain and implement decision trees and random forests as classification algorithms. - Define and differentiate various types of machine learning algorithms. - Analyze the working of regression for predictive tasks. - Apply K-means clustering to explore and discover patterns in unlabeled data. - Strategically use unlabeled data to improve model training. - Manipulate boosting algorithms to achieve higher model accuracy. This course is ideal for learners with foundational knowledge in Python programming and some familiarity with basic statistical concepts. Prior experience in data analysis or working with data libraries (such as Pandas or NumPy) is beneficial. This course is designed for aspiring data scientists, machine learning enthusiasts, and Python programmers who want to deepen their understanding of machine learning and enhance their data-driven decision-making skills. Equip yourself with practical machine learning skills and advance your journey in AI. Enroll in "Applied Machine Learning with Python" today and bring predictive power to your projects.

Machine Learning Algorithms

Association Rule Mining and Recommendation System

Course Wrap-Up and Assessment