Mahitha KumarDec 22, 20203 minHow Padding helps in CNN ?Padding in general means a cushioning material. In CNN it refers to the amount of pixels added to an image when it is being processed whi...
Haripriya SakethDec 21, 20207 minDo you want to learn Machine Learning?What is Machine learning? Machine learning is a branch of artificial intelligence (AI) that provides systems the ability to automatically...
manjuhariashokDec 20, 20203 min Missforest- One of the best Imputational Methods. Missing Data is very common in statistical analysis, and the Imputation of missing values is a very important step in data analysis. Man...
Bhuvaneswari GopalanDec 19, 20203 minDetection of heart disease using Decision Tree ClassifierDecision Tree is one of the most popular and powerful classification algorithms in machine learning, that is mostly used for predicting c...
Namrata KapoorDec 18, 20204 minNLP-Word Embedding made easyWord Embedding To tell things briefly and in a meaningful way is the best strategy to communicate. Now in language processing achieving t...
Mahitha KumarDec 13, 20202 minWhy Pooling in CNN?Imagine you are scanning a 16X20 picture and a 2X2 same picture, which one do you think is scanned faster? Yes 2X2 would be faster with l...
sana.b17Dec 12, 20202 minEDA concepts (Data understanding & Visualization)Exploratory Data Analysis or EDA is very crucial for the success of all data science projects. So, let’s try to understand what EDA is al...
neetavrshn5Dec 12, 20202 minPoolingIn today's world data collection is a big part of almost all companies for increasing their work efficiency, profits and maintaining qual...
Namrata KapoorDec 11, 20203 minWeight Initialization Techniques-What best works for youWeights are responsible for connection between the units, in neural networks, these can be initialized randomly and then get updated in b...
Bhuvaneswari GopalanDec 11, 20202 minWhat is Gini Impurity? How is it used to construct decision trees?Decision Tree is one of the most popular and powerful classification algorithms that we use in machine learning. As the name itself signi...
neetavrshn5Dec 10, 20202 minSupervised LearningSupervised Learning - As the name suggest, Supervised Learning is a process of learning with the help of a instructor who explain complex...
Bhuvaneswari GopalanDec 10, 20203 minWhat is Entropy and Information Gain? How are they used to construct decision trees?Decision tree is one of the simplest and common Machine Learning algorithms, that are mostly used for predicting categorical data. Entrop...
Mahitha KumarDec 10, 20203 minScikit.101Your data speaks a lot, get to know what it is by using this Machine Learning Library. The Data Science Lifecycle has many steps from und...
Namrata KapoorDec 6, 20205 minTime Series- Basic Concepts before you startWe always want to know what will happen in future, and if we can predict the important information of future it is even more interesting....
Namrata KapoorNov 27, 20207 minXG Boost -The base and Mathematics behind itXG Boost is one of the best machine learning algorithms known, which is high on speed and performance due to various factors like paralle...
Namrata KapoorNov 19, 20206 minOptimizersIn machine/deep learning main motive of optimizers is to reduce the cost/loss by updating weights and biases and to improve model perform...
Namrata KapoorNov 17, 20203 minLoss Functions -when to use which oneThe ultimate goal of all algorithms of machine learning is to decrease loss. Loss has to be calculated before we try strategy to decrease...
Bhuvaneswari GopalanNov 17, 20203 minHow to implement MICE algorithm using Iterative Imputer to handle missing values?Any machine learning model is only as good as the data, so having a complete dataset with proper data is a must to develop a good model. ...
Namrata KapoorNov 10, 20205 minImplementation of GDM Data with modellingGestational Diabetes is a problem many women suffer from during pregnancy. This model is build to understand the preconditions of it and ...
Mahitha KumarNov 6, 20204 minExample for XGBoostXG Boost is very powerful Machine learning algorithm which can have higher rates of accuracy when specified by its wide range of paramete...
