This app predict the current day’s weather condition of Rawalpindi using past historical data of 4 years with the time interval of 3 hours.
Weather forecast prediction can be made by using the Random Forest Algorithm. In this project we are following the Supervised Machine Learning Technique so, we will use Random Forest Algorithm for both techniques (for Classification and Regression). Random Forest Algorithm can be used for both techniques, algorithm as a classifier and as a regression. Random Forests (RF) is the most popular method in data mining. we will cast weather and we will predict next day weather using ML models. Firstly, we collect data from authentic source and then we train the data with some ML models (Random Forest Algorithm) and test it with test data to compare the result in term of accuracy of different models.
Weather forecast prediction can be made by using the Random Forest Algorithm. In this project we are following the Supervised Machine Learning Technique so, we will use Random Forest Algorithm for both techniques (for Classification and Regression). Random Forest Algorithm can be used for both techniques, algorithm as a classifier and as a regression. Random Forests (RF) is the most popular method in data mining. we will cast weather and we will predict next day weather using ML models. Firstly, we collect data from authentic source and then we train the data with some ML models (Random Forest Algorithm) and test it with test data to compare the result in term of accuracy of different models.
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