fix: update readme with optional mlflow dependency

Signed-off-by: Avik Basu <[email protected]>

README.md

@@ -35,10 +35,16 @@ the result further or drop it after a trigger request.
 
 ## Installation
 
+numalogic can be installed using pip.
 ```shell
 pip install numalogic
 ```
 
+If using mlflow for model registry, install using:
+```shell
+pip install numalogic[mlflow]
+```
+
 ### Build locally
 
 1. Install [Poetry](https://python-poetry.org/docs/):
@@ -53,13 +59,17 @@ pip install numalogic
  ```
  poetry install
  ```
+ If extra dependencies are needed:
+ ```
+ poetry install --all-extras
+ ```
 4. To run unit tests:
  ```
  make test
  ```
 5. To format code style using black:
  ```
- make format
+ make lint
  ```
 
 ## Usage
@@ -133,7 +143,7 @@ Now that the model is trained, let's save it. Numalogic has built in support
 for Mlflow's tracking and logging system.
 
 Let's first start the [mlflow server on localhost](https://www.mlflow.org/docs/latest/tracking.html#scenario-1-mlflow-on-localhost),
-which has already been installed via `poetry` dependency:
+which has already been installed optionally via `poetry` dependency:
 ```shell
 mlflow server \
  --default-artifact-root {directory}/mlruns --serve-artifacts \