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IBM - Machine Learning With Python
- Offered bySkillup
Machine Learning With Python at Skillup Overview
Duration | 3 weeks |
Total fee | ₹7,399 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Machine Learning With Python at Skillup Highlights
- Earn a certificate from IBM
Machine Learning With Python at Skillup Course details
- Individuals looking to learn how to work with different kinds of data
- Individuals wanting to perform analysis on data
- Individuals wanting an introduction to machine learning with Python
- Statistical modeling
- Real-life examples of machine learning
- Python libraries
- Popular algorithms: regression, classification, and clustering
- Recommender systems: content-based and collaborative filtering
- Popular models: train/test split, gradient descent, and mean squared error
- This Machine Learning with Python course dives into the basics of machine learning using an approachable and well-known programming language
- You'll learn about supervised vs unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each
- In this course, you will explore many algorithms and models, including classification, regression, clustering, and dimensional reduction
- You will also build your understanding of popular models such as train/test split, root mean wquared error, and random forests
Machine Learning With Python at Skillup Curriculum
Module 1 - Machine Learning
Intro to Machine Learning
Python for Machine Learning
Supervised vs Unsupervised
Graded Review Questions
Module 2 - Regression
Intro to Regression
Simple Linear Regression
Lab: Simple Linear Regression
Multiple Linear Regression
Model Evaluation
Evaluation Metrics
Non-Linear Regression
Lab: Non-Linear Regression
Graded Review Questions
Module 3 - Classification
Intro to Classification
K-Nearest Neighbors
Evaluation Metrics
Lab: KNN
Intro to Decision Trees
Building Decision Trees
Module 4 - Clustering
Intro to Clustering
K-Means Clustering
More on K-Means
Lab: K-Means
Hierarchical Clustering
More on Hierarchical Clustering
Lab: Hierarchical Clustering
DBSCAN Clustering
Module 5 - Recommender Systems
Recommender Systems
Content-based
Lab: Content-based
Collaborative Filtering
Lab: Collaborative Filtering
Graded Review Questions