README.md in eps-0.3.5 vs README.md in eps-0.3.6

@@ -341,14 +341,12 @@
 ```ruby
 df = Daru::DataFrame.from_csv("houses.csv")
 Eps::Model.new(df, target: "price")
 ```
 
-### CSVs
+When reading CSV files directly, be sure to convert numeric fields. The `table` method does this automatically.
 
-When importing data from CSV files, be sure to convert numeric fields. The `table` method does this automatically.
-
 ```ruby
 CSV.table("data.csv").map { |row| row.to_h }
 ```
 
 ## Algorithms
@@ -373,12 +371,16 @@
 Eps::Model.new(data, learning_rate: 0.01)
 ```
 
 ### Linear Regression
 
-#### Performance
+By default, an intercept is included. Disable this with:
 
+```ruby
+Eps::Model.new(data, intercept: false)
+```
+
 To speed up training on large datasets with linear regression, [install GSL](https://github.com/ankane/gslr#gsl-installation). With Homebrew, you can use:
 
 ```sh
 brew install gsl
 ```
@@ -388,17 +390,9 @@
 ```ruby
 gem 'gslr', group: :development
 ```
 
 It only needs to be available in environments used to build the model.
-
-#### Options
-
-By default, an intercept is included. Disable this with:
-
-```ruby
-Eps::Model.new(data, intercept: false)
-```
 
 ## Probability
 
 To get the probability of each category for predictions with classification, use: