Shubhmahe/-Machine_Learning_On_Algerian_Forest_Dataset

Algerian Forest Fire Dataset - Temperature Prediction ML Logistic Regression Practical Implementation on Algerian Forest Fire Prediction Dataset. The aim being the integration of the decision tree classifier as a part of the smart sensor node architecture that allows fire prediction in automated and intelligent way without requiring human intervention. Topics Covered :- 1 ) EDA and Feature Engineering • Data Profiling • Data Cleaning • Statistical Analysis • Graphical Analysis • Data Scaling 2) Logistic Regression Implementation • Logistic Regression on Original Dataset • Performance metrics for the above model • Creating an imbalanced dataset from original dataset • Balancing the imbalanced Dataset • Logistic Regression on above dataset • Performance Metrics for above Dataset • Compairing the performance of Original balanced dataset and the balanced dataset that we create from an imbalanced one.