Email: it@huph.edu.vn

Python Data Science Unsupervised Machine Learning

0 students Last updated Jan 2025

About the course

Course content

Sections: 12

•

Activities: 1

•

Resources: 199

Announcements
1 Course Introduction
2 About This Series
3 Course Structure Outline
4 Introducing the Course Project
5 Setting Expectations
6 Jupyter Installation Launch

10 Step 4 Exploring Data
11 Step 5 Modeling Data
12 Step 6 Sharing Insights
13 Unsupervised Learning
14 Key Takeaways
1 Section Introduction
2 What is Data Science
3 Data Science Skill Set
4 What is Machine Learning
5 Common Machine Learning Algorithms
6 Data Science Workflow
7 Step 1 Scoping a Project
8 Step 2 Gathering Data
9 Step 3 Cleaning Data

1 Section Introduction
2 Unsupervised Learning 101
3 Unsupervised Learning Techniques
4 Unsupervised Learning Applications
5 Structure of This Course
6 Unsupervised Learning Workflow
7 Key Takeaways

1 Section Introduction
2 Data Prep for Unsupervised Learning
3 Setting the Correct Row Granularity
4 DEMO Group By
5 DEMO Pivot
6 ASSIGNMENT Setting the Correct Row Granularity
7 SOLUTION Setting the Correct Row Granularity
8 Preparing Columns for Modeling
9 Identifying Missing Data
10 Handling Missing Data
11 Converting to Numeric
12 Converting to DateTime
13 Extracting DateTime
14 Calculating Based on a Condition
15 Dummy Variables
16 ASSIGNMENT Preparing Columns for Modeling
17 SOLUTION Preparing Columns for Modeling
18 Feature Engineering
19 Feature Engineering During Data Prep
20 Applying Calculations
21 Binning Values
22 Identifying Proxy Variables
23 Feature Engineering Tips
24 ASSIGNMENT Feature Engineering
25 SOLUTION Feature Engineering
26 Excluding Identifiers From Modeling
27 Feature Selection
28 ASSIGNMENT Feature Selection
29 SOLUTION Feature Selection
30 Feature Scaling
31 Normalization
32 Standardization
33 ASSIGNMENT Feature Scaling
34 SOLUTION Feature Scaling
35 Key Takeaways

1 Section Introduction
2 Clustering Basics
3 K Means Clustering
4 K Means Clustering in Python
5 DEMO K Means Clustering in Python
6 Visualizing K Means Clustering
7 Interpreting K Means Clustering
8 Visualizing Cluster Centers
9 ASSIGNMENT K Means Clustering
10 SOLUTION K Means Clustering
11 Inertia
12 Plotting Inertia in Python
13 DEMO Plotting Inertia in Python
14 ASSIGNMENT Inertia Plot
15 SOLUTION Inertia Plot
16 Tuning a K Means Model
17 DEMO Tuning a K Means Model
18 ASSIGNMENT Tuning a K Means Model
19 SOLUTION Tuning a K Means Model
20 Selecting the Best Model
21 DEMO Selecting the Best Model
22 ASSIGNMENT Selecting the Best K Means Model
23 SOLUTION Selecting the Best K Means Model
24 Hierarchical Clustering
25 Dendrograms in Python
26 Agglomerative Clustering in Python
27 DEMO Agglomerative Clustering in Python
28 Cluster Maps in Python
29 DEMO Cluster Maps in Python
30 ASSIGNMENT Hierarchical Clustering
31 SOLUTION Hierarchical Clustering
32 DBSCAN
33 DBSCAN in Python
34 Silhouette Score
35 Silhouette Score in Python
36 DEMO DBSCAN and Silhouette Score in Python
37 ASSIGNMENT DBSCAN
38 SOLUTION DBSCAN
39 Comparing Clustering Algorithms
40 Clustering Next Steps
41 DEMO Compare Clustering Models
42 DEMO Label Unseen Data
43 Key Takeaways

1 Project Overview
2 SOLUTION Data Prep
3 SOLUTION K Means Clustering
4 SOLUTION Hierarchical Clustering
5 SOLUTION DBSCAN
6 SOLUTION Compare Recommend and Predict

1 Section Introduction
2 Anomaly Detection Basics
3 Anomaly Detection Approaches
4 Anomaly Detection Workflow
5 Isolation Forests
6 Isolation Forests in Python
7 Visualizing Anomalies
8 Tuning and Interpreting Isolation Forests
9 ASSIGNMENT Isolation Forests
10 SOLUTION Isolation Forests
11 DBSCAN for Anomaly Detection
12 DBSCAN for Anomaly Detection in Python
13 Visualizing DBSCAN Anomalies
14 ASSIGNMENT DBSCAN for Anomaly Detection
15 SOLUTION DBSCAN for Anomaly Detection
16 Comparing Anomaly Detection Algorithms
17 RECAP Clustering and Anomaly Detection
18 Key Takeaways

1 Section Introduction
2 Dimensionality Reduction Basics
3 Why Reduce Dimensions
4 Dimensionality Reduction Workflow
5 Principal Component Analysis
6 Principal Component Analysis in Python
7 Explained Variance Ratio
8 DEMO PCA and Explained Variance Ratio in Python
9 ASSIGNMENT Principal Component Analysis
10 SOLUTION Principal Component Analysis
11 Interpreting PCA
12 DEMO Interpreting PCA
13 ASSIGNMENT Interpreting PCA
14 SOLUTION Interpreting PCA
15 Feature Selection vs Feature Extraction
16 PCA Next Steps
17 T SNE
18 T SNE in Python
19 ASSIGNMENT T SNE
20 SOLUTION T SNE
21 PCA vs t SNE
22 DEMO Dimensionality Reduction and Clustering
23 ASSIGNMENT T SNE K Means Clustering
24 SOLUTION T SNE K Means Clustering
25 Key Takeaways

1 Section Introduction
2 Recommenders Basics
3 Content Based Filtering
4 Cosine Similarity
5 Cosine Similarity in Python
6 Making a Content Based Filtering Recommendation
7 ASSIGNMENT Content Based Filtering
8 SOLUTION Content Based Filtering
10 User Item Matrix
9 Collaborative Filtering
11 ASSIGNMENT User Item Matrix
12 SOLUTION User Item Matrix
13 Singular Value Decomposition
14 Singular Value Decomposition in Python
15 ASSIGNMENT Singular Value Decomposition
16 SOLUTION Singular Value Decomposition
17 Choosing the Number of Components
18 DEMO Choosing the Number of Components
19 ASSIGNMENT Choosing the Number of Components
20 SOLUTION Choosing the Number of Components
21 Making a Collaborative Filtering Recommendation
22 DEMO Making a Collaborative Filtering Recommendation
23 ASSIGNMENT Collaborative Filtering
24 SOLUTION Collaborative Filtering
25 Recommender Next Steps
26 DEMO Hybrid Approach
27 Key Takeaways

1 Project Overview
2 SOLUTION Data Prep
3 SOLUTION TruncatedSVD
4 SOLUTION Cosine Similarity
5 SOLUTION Recommendations

1 Section Introduction
2 Unsupervised Learning Flow Chart
3 Unsupervised Learning Techniques Applications
4 Unsupervised Learning in the Data Science Workflow
5 Key Takeaways

1 Final Project Overview
2 SOLUTION Data Prep EDA
3 SOLUTION Clustering
4 SOLUTION PCA
5 SOLUTION Clustering Round 2
6 SOLUTION PCA Round 2
7 SOLUTION EDA on Clusters
8 SOLUTION Recommendations

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Python Data Science Unsupervised Machine Learning

Python Data Science Unsupervised Machine Learning

Course modified date: 6 Jan 2025

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