Highlights from our courses

26 videos • 208 views • by Soledad Galli | Data Scientist Curious about what we teach in our courses? This playlist features curated clips showcasing key concepts, practical examples, and expert insights from our top courses. Get a taste of what you'll learn and discover why our courses are a valuable investment in your knowledge and skills. More at: www.trainindata.com
1
Working with Imbalanced Data in 2024 - Machine Learning with Imbalanced Data
Soledad Galli | Data Scientist
Download
2
Metrics For Multiclass - Machine Learning with Imbalanced Data
Soledad Galli | Data Scientist
Download
3
Cost-Sensitive Learning (CSL) - Machine Learning with Imbalanced Data
Soledad Galli | Data Scientist
Download
4
Setting Up a Classifier with Resampling - Machine Learning with Imbalanced Data
Soledad Galli | Data Scientist
Download
5
Borderline SMOTE - Machine Learning with Imbalanced Data
Soledad Galli | Data Scientist
Download
6
K-Means SMOTE - Machine Learning with Imbalanced Data
Soledad Galli | Data Scientist
Download
7
Hyperparameter Optimization
Soledad Galli | Data Scientist
Download
8
Random Search | Hyperparameter Optimization
Soledad Galli | Data Scientist
Download
9
Basic Search vs. Bayesian Optimization | Hyperparameter Optimization
Soledad Galli | Data Scientist
Download
10
Python Libraries for Hyperparameter Tuning | Hyperparameter Optimization
Soledad Galli | Data Scientist
Download
11
Why Should We Select Features in Machine Learning?
Soledad Galli | Data Scientist
Download
12
Removing Correlated Features | Feature Selection for Machine Learning
Soledad Galli | Data Scientist
Download
13
Filter Methods | Correlation | Feature Selection for Machine Learning
Soledad Galli | Data Scientist
Download
14
Step-Forward Feature Selection | Feature Selection for Machine Learning
Soledad Galli | Data Scientist
Download
15
Statistical Methods for Feature Selection | Feature Selection for Machine Learning
Soledad Galli | Data Scientist
Download
16
Missing Data Imputation | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
17
Cardinality | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
18
Imputation with Feature-engine | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
19
Alternative Imputation Methods | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
20
Handling Rare Labels & High Cardinality | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
21
Variable Transformation | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
22
Discretization | Feature Engineering for Machine Learning
Soledad Galli | Data Scientist
Download
23
Interpretability in Machine Learning | Machine Learning Interpretability
Soledad Galli | Data Scientist
Download
24
Feature Importance in Decision Trees | Machine Learning Interpretability
Soledad Galli | Data Scientist
Download
25
Permutation Feature Importance | Machine Learning Interpretability
Soledad Galli | Data Scientist
Download
26
Shapley Values and Cooperative Game Theory | Machine Learning Interpretability
Soledad Galli | Data Scientist
Download