What is Data Preprocessing? Data Preprocessing Is the Process Of Transforms Data Into Algorithm Knowing Data. RealWord [Raw ]Data Is In incomplete and inconsistent Not Always. Make Raw-data Useful Using Data Preprocessing. Data Preprocessing Step By Step Step 1 : Import the libraries Step 2 : Import the data set Step 3 : Data Cleaning Step 4 : Data Transformation Step 4 : Data Reduction … Read more
What Is Regression? Regression is statistical processes for find relationship between depends variable and independent variables. depended variable also called as predict or outcome variable. independent variable also call as predictors, covariates, or features variable. independent may be one or more variables. Regression analysis use for prediction, forecasting and analyse relationship between dependent and independent variable. … Read more
What Is Classification ? Classification Is Processes of finding patterns from structured or unstructured observed data when the output variable is categorical. In the Classification model, Giving one or more than one inputs will try to predict the finite and discrete values outcomes. example: house price prediction, monsoon prediction, gender of a person on handwriting, … Read more
What is Clustering? Clustering is an unsupervised Machine Learning technique used in statistical data analysis, image processing, and pattern recognition. The clustering algorithm classifies each data (variables) in a particular group. Similar variables, properties, features, and data points are in a single group while other data points exist. For example, data points such as income, … Read more
What is Association Rule Learning Algorithms? Association Rules Learning algorithms (Association Rules Mining) is machine learning or data mining technique to discover identify pattern between variables or in database. Association rule mining algorithms Find Relationship using rule-based discover the association between variables. Example of supermarket sales beer and Baby Diapers. Recommender systems example is Facebook Post, Amazon … Read more
What is Dimensionality Reduction? Dimensionality Reduction Is Process Of Reducing correlated and independent variable in dataset. this process use in machine learning problems, Get better predictor variable In regression and classification Problem. in data science project lot of column(Feature) in dataset, it is difficult to visualise which feature important in training dataset At independent variable … Read more
What Is Model Selection ? Model selection is the process of select final model of machine learning problem for training dataset. k-fold Cross Validation Cross validation is a estimate model prediction using statistical method. In machine learning problem, Have A Two Type OF Data one is training data set and second is testing data set. … Read more
What Is Deep Learning? Deep Learning is Machine Learning Technique That Learn Features And Task Directly From Data. Data Can be Images, Text Or Sound. But deep Learning Concepts can be used other types of data. Deep Learning is often refer to end to end learning. DeepLearning big impact in areas such as computer vision … Read more
What is Natural Language Processing ? Natural Language Processing Is deal between computers and human language. 80% Data in unstructured format As Email, Call Transcript, Speech Transcript, Interview, Audio And Video, Post Social Media, Survey. Only 20% in structured format such as contact details, credit card data, product data . NLP In Daily Life Google … Read more
What Is Reinforcement Learning and How Can It Apply Machine Learning? Reinforcement learning is a method used in machine learning to teach a robot specific rules. This method is inspired from the classic Atari games. These games allow agents to act as agents within an environment. Their actions can lead to a reward or punishment … Read more
