In this study, the animal manure-based biogas potentials of Antalya, Isparta, and Burdur provinces in the Western Mediterranean region of Turkey were calculated. CO2 emission, coal, electricity, and thermal energy, CH4 emission values were calculated and machine learning modeling was performed. A total of 550305 tons/year of manure can be obtained from this animal's existence. As a result of the calculation, 130929541 m3/year of biogas can be produced from manure. Depending on biogas production; 93484 tons/year of coal, 235673174 kWh/year of electrical energy, and 2828078093 MJ/year of thermal energy can be provided and 153653 tons/year of CO2 emissions will be prevented. In this study, special information on cattle, sheep, and poultry, and animal age, number, and manure amount information were used in detail. To determine the model with the best results, machine learning algorithms Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and Linear Regression (LR) were used and hyper-parameter optimization was performed. According to the results of biogas potential, CO2 emission, electricity production, and thermal energy estimations SVM models are seen as the best models with R2 = 0.999. When the coal amount estimation is examined, the LR models produce better results than SVM and MLP with R2 = 0.997. In the estimation of CH4 using the Tier 1 approach, the MLP model can perform the best estimation with R2 = 0.977. In the CH4 modeling obtained using the Tier 2 approach, the LR models were superior to the other models with the performance value of R2 = 0.962.