Data Science in short It is process of extracting insights from data by using scientific methods. Scientific Methods 1. Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Statistics 5. Visualization Tools (Seaborn, Matplotlib) Data in Data Science 1. Structured >> CSV Files, Excel Files 2. Unstructured >> Images, Videos, Text, Audios 3. Semi-structured >> JSON, HTML Types of Machine Learning 1. Supervised ML 2. Unsupervised ML 3. Reinforcement ML Supervised Machine Learning If the Data is labelled, Use Supervised ML labelled data 1. Independent Variables (Input Variable, Predictors, Features, Parameters) 2. Dependent Variable (Output, Target) 1. Classification :(Categorical data in target Column) 1. Binary Classification (Two Categories in target column): Approved/Declined, 1/0, True/False, Yes/No, Pos/N...