Causal Inference, AI, Data Science, Marketing, Machine Learning.
for channels node_lookup = {0: 'Demand', 1: 'TV spend', 2: 'Social spend', 3: 'Organic clicks', 4: 'Social clicks', 5: 'Revenue' } total_nodes = len(node_lookup) # Create adjacency matrix - this is the base for our graph graph_actual = np.zeros((total_nodes, total_nodes)) # Create graph using