What Is Forecasting? Forecasting is a process of prediction or estimating the future based on past and present data. Example: how many passenger can we expect in a given flight?, weather forecasting, stock price forecasting. Forecast means to contrive or scheme before hand; to arrange plan before execution. What Is Time Series Forecasting? Time Series …
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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 …
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. …
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 …
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 …
What is Association Rule Learning? Association Rules Learning (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 Prime Video …
What is Clustering? Clustering is an unsupervised Machine Learning technique used in statistical data analysis, image processing, pattern recognition. Cluster algorithm classify each data (variables) in particular group. In similar variables, properties, features, data point in single group while other data points. Example : data point as income, education, profession, age, number of children, etc …
What Is Classification ? Classification Is Processes for find pattern from structured or unstructured observed data when output variable is categorical. In Classification model Give one or more than one inputs will try to predict the finite and discrete values outcomes. example: house price prediction, whether monsoon prediction, gender of a person on hand writing, Logistic Regression …
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. …
What is Data Preprocessing? Data Preprocessing Is Process Of Transforms Data Into Algorithm Knowing Data. RealWord [Raw ]Data Is In incomplete and inconsistent Not Always. Make Raw-data Useful Using DataPreprocessing. 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 Step 5: Feature Scaling …