Swetha Dhanasekar8 hours ago3 minSimple and Multiple Linear RegressionLinear regression is one of the well known and well understood algorithms in statistics and machine learning. It is one of the machine le...
Madhuri21 hours ago3 minUnderstanding Ensemble Method Bagging (Bootstrap Aggregating) with Python :Both bagging and boosting are the most prominent ensemble techniques. The general principle of an ensemble method in Machine Learning to ...
Priyanka Gupta2 days ago4 min Basic concept of Transfer Learning“Sharing will enrich everyone with more knowledge.” -Ana Monnar As the name itself, telling its definition - Transferring of knowledge fr...
Swetha Dhanasekar2 days ago3 minBias and Variance Trade-offFor any model to perform well the error needs to be reduced. The correct balance of bias and variance is important for building any machi...
Namrata Kapoor5 days ago4 minText Summarization through use of Spacy libraryText summarization in NLP means telling a long story in short with a limited number of words and convey an important message in brief. Th...
Ravali Munagala5 days ago4 minRegularization in Linear ModelsIn machine learning, Regularization is a modification to be applied on a model so that we get more generalized model that fits well with ...
Priyanka Gupta6 days ago3 min Tensor / Filter: What is it simply!! “The lens we choose, transforms the way we look at things.” - Dewitt Jones When we talk about image recognition, we see Tensors in many t...
Tamil SelviFeb 234 minNumPy GuideNumPy is a Python library used for working with arrays. NumPy (short form of ‘Numerical Python’) is a python module which is used in doma...
Ravali MunagalaFeb 225 minUnderstanding AdaBoostAdaBoost is adaptive learning algorithm, which learns from calling weak learning algorithms repeatedly in a sequential way. It adapts to ...
Swetha DhanasekarFeb 213 minRandom Forest Classifier- A Beginner's GuideRandom Forest: Random Forest is a classifier that evolves from Decision trees. As the name suggests, this algorithm creates the forest wi...
Tamil SelviFeb 92 minWhy -Polynomial Regression and not Linear Regression?Linear Regression: - Linear Regression establishes a relationship between dependent variable (Y) and one or more independent variables (X...
Tamil SelviFeb 92 minRegression -Scatterplot and Implementation Regression analysis is a form of predictive modelling technique which investigates the relationship between a dependent and independent v...
Namrata KapoorFeb 54 minSentiment Analysis: Deep dive into Rule-Based, TextBlob, and Vader Sentiment AnalysisSentiment Analysis is a field that has a lot of scope and application into recommendation systems. Be it movie reviews, stock market, pro...
Bhuvaneswari GopalanFeb 23 minWhat is Natural Language Processing(NLP)? Human beings are the most advanced species on earth without any doubt and as human beings, our success lies in the ability to communicate...
Swetha DhanasekarFeb 13 minA Simple introduction to Decision tree and Support Vector Machines (SVM)Decision tree and Support vector machines are the popular tools used in Machine learning to make predictions. Both these algorithms can b...
Ravali MunagalaJan 301 minDecision tree vs SVMA Decision tree is a tool in Machine learning that is tree like model which uses some conditions to arrive at a consequence. Each Conditi...
Namrata KapoorJan 214 minNLP: OCR, Language Translation, Text to Speech, Speech to TextOCR-Optical Character Recognition We often have a requirement to extrax=ct text from pictures, we have a library easyocr to do this job e...
Margi PatelJan 203 minDBMS keysImage source In the beginning study of the DBMS keys, we are confused about the DBMS keys concepts because there are many different types...
Margi PatelJan 192 minVanishing and Exploding Gradients in Neural NetworksImage source In this blog, you will understand why the Vanishing and Exploding Gradient problem happens. What are Vanishing and Exploding...
santhoshini21kJan 184 minUnderstanding the Gini Index in Decision Tree with an ExampleA decision tree is a specific type of flow chart used to visualize the decision-making process by mapping out the different courses of a...
