Weather-Forecast

Problem Objective

In this notebook, I'll be dealing with a Regression problem with the aim to predict a continuous value. The weather.csv file contains a dataset about different measured and recorded aspects of the weather at each day for almost a year. The entire dataset contains 366 entries and 22 columns

Data source

https://www.kaggle.com/zaraavagyan/weathercsv

Steps followed

• Exploratory data analysis
• Data Preprocessing
• Applying ML algorithms:
  • Linear Regression
  • Decision Tree Regressor
  • Random Forest Regressor
  • XGBoost Regressor
  • SVM Regressor
• Comparing algorithms performances
• Conclusion

Evaluation metrices

• MSE
• RMSE
• MAE