Fahath KG

Correlation Analysis A correlation analysis is a statistical technique which quantifies the relation between two variables in a model. It is used to understand the nature of relationships between two individual variables. It measures the strength of association between the variables. Correlation analysis gives a great privilege to the Data Scientists to identify the implication of a variable on other variables in the model. With it's prominence in predicting the relationship between the variables, it is considered to be one of the most important techniques used in Exploratory Data Analysis (EDA). It's been highly misunderstood that correlation analysis determines cause and effect. All that correlation explains is the association between the variables and not the causation. It is much suitable for continuous variables than categorical variables. A correlation between two variables can be either positive, negative or neutral. Positive Correlation - Increase ...

Deep Learning and Neural Networks Neural network is a kind of ML algorithm which has got developed, inspired by the functions of an actual human brain. Neural networks has the ability to learn from the inputs. With it's ability to learn by itself, Neural networks opens the gate of possibilities to get a solution to most of the complex problems. The significant progress of neural networks in recent days makes it inevitable towards achieving Artificial Intelligence. A neural network uses the examples to automatically infer rules for recognizing the patterns. By increasing the number of training examples, the network can learn more about the patterns and improve the accuracy. Neural networks truly have the potential to revolutionize the field of Artificial Intelligence. Neural networks are used for classification tasks where an object can fall into one of atleast two different categories. A neural network is highly structured and comes in layers. The first layer is the ...