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Learning AI
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Data Science Courses
Udemy - Data Science Methods and Techniques 2025 2025-8
1 students
Last updated
Sep 2025
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Udemy - Data Science Methods and Techniques 2025 2025-8
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Course content
Sections:
4
•
Activities:
1
•
Resources:
31
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Section 1
Introduction
Announcements
1 Introduction
2 Setup of the Anaconda Cloud Notebook
3 Download and installation of the Anaconda Distribution optional
4 The Conda Package Management System optional
Section 2
Master Regression, Prediction and Supervised Learning
1 Regression Prediction and Supervised Learning Section Overview I
2 The Traditional Simple Regression Model II
3 The Traditional Simple Regression Model III
4 Some practical and useful modelling concepts IV
5 Some practical and useful modelling concepts V
6 Linear Multiple Regression model VI
7 Linear Multiple Regression model VII
8 Multivariate Polynomial Multiple Regression models VIII
9 Multivariate Polynomial Multiple Regression models VIIII
10 Regression Regularization Lasso and Ridge models X
11 Decision Tree Regression models XI
12 Random Forest Regression XII
13 Voting Regression XIII
Section 3
Master Classification and Supervised Learning
1 Classification and Supervised Learning overview
2 Logistic Regression Classifier
3 The Naive Bayes Classifier
4 K Nearest Neighbor Classifier KNN Extra Video
5 The Decision Tree Classifier
6 The Random Forest Classifier
7 Linear Discriminant Analysis LDA Extra Video
8 The Voting Classifier
Section 4
Master Cluster Analysis and Unsupervised Learning
1 Overview
2 K Means Cluster Analysis
3 Auto updated K Means Cluster Analysis introduction and simulation
4 Density Based Spatial Clustering of Applications with Noise DBSCAN
5 Four Hierarchical Clustering algorithms
6 Principal Component Analysis PCA
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Udemy - Data Science Methods and Techniques 2025 2025-8
Course modified date:
9 Sept 2025
Udemy - Data Science Methods and Techniques 2025 2025-8
Enrolled students:
1
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