Updated README.md

Machine Learning and Data Science/Basic/Calorie Burnt Prediction/README.md

@@ -1,2 +1,49 @@
-Calorie Burnt Prediction 
-The following project deals with datasets of users and the calories burnt and prediction is made and accuracy is achieved. 
+# Calorie Burnt Prediction
+
+### Source of data:- 
+
+##### https://www.kaggle.com/datasets/supriyoain/water-quality-data/data
+
+### Use
+This model predicts the calorie burnt using quantities like weight,height,duration,heart rate and body temperature. This predictive model uses Xgboost for prediction and error is measured using mean absolute error. It merges the two datasets of users and EDA shows how different quantitites are related to each other and conclusion is drawn for the same.
+
+### Dependencies
+- numpy
+- matplotlib.pyplot
+- seaborn
+- scikit
+
+
+
+
+
+
+
+
+<img src="https://github.com/Kushal997-das/Project-Guidance/assets/106761122/a90af005-97f0-45ef-a834-0e82113a9377"  width="600" height="600">
+
+
+
+
+
+
+
+<img src="https://github.com/Kushal997-das/Project-Guidance/assets/106761122/bb059084-f2e4-414f-8f4e-66aa3a1bbc87"  width="600" height="400">
+
+
+
+
+
+
+
+
+<img src="https://github.com/Kushal997-das/Project-Guidance/assets/106761122/0d4f9082-77a9-43ec-91e9-3d6413b94814"  width="600" height="400">
+
+
+
+
+
+
+![img-4](https://github.com/Kushal997-das/Project-Guidance/assets/106761122/0617bfc6-48d1-4376-b7a5-171df2dae283)
+
+