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End-to-End Machine Learning / Logistic Regression / Exploratory Data Analysis EDA / Classification

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Embark on your Machine Learning journey using this End-to-End tutorial. We'll be using Logistic Regression to perform multi-class classification for predicting Mobile Phone Price Ranges based on the data provided. We'll focus on Exploratory Data Analysis EDA for this project.
0:00 What we’ll cover
0:50 About the dataset
1:03 Project setup
2:27 Imports and constants
3:05 Read & overview data
3:35 EDA
5:03 Univariate analysis
8:32 Bivariate analysis
12:40 Multivariate analysis
16:40 EDA Findings
18:58 Data Splitting
21:18 Logistic Regression
22:50 Training the Model
25:22 Scaling the data
27:31 Making predictions
28:30 Scoring the model
29:15 Model Evaluation
30:07 Understanding the metrics
34:10 Next steps
34:23 Conclusion
0:00 What we’ll cover
0:50 About the dataset
1:03 Project setup
2:27 Imports and constants
3:05 Read & overview data
3:35 EDA
5:03 Univariate analysis
8:32 Bivariate analysis
12:40 Multivariate analysis
16:40 EDA Findings
18:58 Data Splitting
21:18 Logistic Regression
22:50 Training the Model
25:22 Scaling the data
27:31 Making predictions
28:30 Scoring the model
29:15 Model Evaluation
30:07 Understanding the metrics
34:10 Next steps
34:23 Conclusion