Inevitably, every aspect of living produces large amounts of oily effluent, and the oil-contaminated wastewater is characterized by enormous quantities, complex compositions, and causes serious hazards to human health and the environment. Treatment of oily wastewater is still a pressing concern since it is expensive and has poor treatment efficacy. Because it is extremely well-established, affordable, useful, and somewhat effective, coagulation/flocculation is currently getting a lot of attention as an essential oily wastewater treatment method. This article focuses on the treatment effects of the inorganic coagulant Poly Aluminum Chloride (PAC) and the flocculant Deoiling Polyelectrolyte (DOPE) as new materials for the removal of oil from industrial wastewater in preliminary treatment. Maximum reduction of turbidity occurs at the optimum dosage of 25 ppm PAC and 10 ppm DOPE at a pH level of 7. Machine Learning models based on algorithms such as Support Vector Regression and Decision Tree Regressor have also been developed using the experimental data.