pritam-777/EDA_FE_Regression_of_Algerian_Forest_Fire

# EDA_FE_Regression_of_Algerian_Forest_Fire ## Data Set Information: The dataset includes 244 instances that regroup a data of two regions of Algeria,namely the Bejaia region located in the northeast of Algeria and the Sidi Bel-abbes region located in the northwest of Algeria. 122 instances for each region. The period from June 2012 to September 2012. The dataset includes 11 attribues and 1 output attribue (class) The 244 instances have been classified into ‘fire’ (138 classes) and ‘not fire’ (106 classes) classes. ## Project Details: #### Exploratory Data Analysis and Feature Engineering of the datasets #### Use different Linear regression Models for Predictive Analysis to Predict the Temperature of the forest #### Data and information visualization with Univariate Analysis and Multivariate Analysis