From d4326979ce06250e4eb658c015576b09a194674d Mon Sep 17 00:00:00 2001
From: Ambarish Singh <105585526+Ambarish-224@users.noreply.github.com>
Date: Thu, 21 Dec 2023 22:49:22 +0530
Subject: [PATCH] Update README.md
---
README.md | 28 ++++++++++++++++------------
1 file changed, 16 insertions(+), 12 deletions(-)
diff --git a/README.md b/README.md
index e79a9c0..9691066 100644
--- a/README.md
+++ b/README.md
@@ -2,14 +2,18 @@
-Application URL Links : [InsurancePremiumPredictor](https://ambarish-224-insurance-prediction-project.streamlit.app/)
+[Linkedin](https://www.linkedin.com/in/ambarish-224/)
+[Medium](https://medium.com/@Ambarish_224)
+[Github](https://github.com/Ambarish-224)
-## UI of Application :-
-
-
+## UI of Application:-
+
+
+
+Application URL Links : [InsurancePremiumPredictor](https://ambarish-224-insurance-prediction-project.streamlit.app/)
@@ -25,12 +29,12 @@ Application URL Links : [InsurancePremiumPredictor](https://ambarish-224-insuran
## About project
-Insurance Premium Prediction is an Machine Learning Project which predicts Insurance premium price based on some Input data.
+Insurance Premium Prediction is a Machine Learning Project that predicts Insurance premium prices based on some Input data.
## Technologies
-This project is created with below technologies/tools/resorces:
+This project is created with below technologies/tools/resources:
* Python: 3.7
* Machine Learning
* Jupyter Notebook
@@ -51,16 +55,16 @@ This project is created with below technologies/tools/resorces:
## Setup
-To install requirement file
+To install the required file
```
pip install -r requirements.txt
```
* Add files to git `git add .` or `git add
@@ -88,7 +92,7 @@ pip install -r requirements.txt
### 2. Data Validation:
-* Data validation is an integral part of ML pipeline. It is checking the quality of source data before training a new mode
+* Data validation is an integral part of the ML pipeline. It is checking the quality of source data before training a new mode
* It focuses on checking that the statistics of the new data are as expected (e.g. feature distribution, number of categories, etc).
@@ -110,8 +114,8 @@ pip install -r requirements.txt
-### 6. Model Deployement
-* Deployment is the method by which we integrate a machine learning model into production environment to make practical business decisions based on data.
+### 6. Model Deployment
+* Deployment is the method by which we integrate a machine-learning model into the production environment to make practical business decisions based on data.