Data Storytelling With Credit Card Defaulter DataExploratory Data Analysis is a key step in any machine learning project. In this blog we will analyse the credit card data to draw key…Dec 7, 2020Dec 7, 2020
Published inThe StartupUnleashing the Potential Of XGBOOSTXGBoost is one of the most celebrated library in the kaggle competitions. It has dominated the space of tabular or structured datasets.The…Nov 19, 2020Nov 19, 2020
Published inThe StartupTracking Object in a Video Using Meanshift AlgorithmTracking objects is an important application in the field of computer vision. This has got use cases in survillance system, defence, self…Oct 7, 2020Oct 7, 2020
Published inThe StartupGenerating High Definition Image From Low Quality ImagesImage quality enhancement is a very common application. Today we can see many apps providing image enhancement modules. In this blog we…Sep 26, 2020Sep 26, 2020
Published inAnalytics VidhyaDetecting The Number Of Pizza Slices Using Image ProcessingDeep learning techniques have been quite useful for counting and detecting number of objects in an image. However we can make use of the…Sep 21, 2020Sep 21, 2020
Published inAnalytics VidhyaAerial Cactus Identification Using Transfer LearningTransfer learning is a useful strategy for applications of image like classification and detection when we don’t have enough data to train…Sep 3, 2020Sep 3, 2020
Published inThe StartupColor Quantization Using K-Means ClusteringColor Quantization is the process of reducing the number of colors in an image while keeping the visual appearance of the image intact…Aug 25, 2020Aug 25, 2020
Published inThe StartupSemantic Segmentation Using U-NetSemantic segmentation is a computer vision problem where we try to assign a class to each pixel value. Unlike the classic image…Aug 14, 2020Aug 14, 2020
Published inDataDrivenInvestorApproaching The Quora Insincere Question Classification ProblemQuora insincere question classification was a challenge organized by kaggle in the field of natural language processing. The main aim the…Aug 9, 2020Aug 9, 2020
What Is Machine Learning On The EdgeDue to the high computation requirement we run deep learning models on powerful servers. However depending on the application sometime it…Aug 8, 2020Aug 8, 2020
Importance Of Thought Vector In Seq2seq ModelSequence to sequence models have been extremely useful for NLP tasks like question answering,machine translation etc. The crux of every…Jul 31, 2020Jul 31, 2020
Understanding Null And Alternative Hypothesis With ExampleHypothesis testing gives us a statistical idea whether our claim is right. It is very useful in a way to prove whether the result was a…Jul 26, 2020Jul 26, 2020
Published inDataDrivenInvestorStep By Step Exploratory Data Analysis Of Titanic DataSetExploratory data analysis is one of the most important step for any data science project. Here we will do the data analysis of titanic…Jul 22, 20201Jul 22, 20201
Unmasking N-Grams: Saviour or Satan?In the preprocessing step of every NLP problem, we are supposed to tokenize the words and create a vocabulary. In general we create single…Jul 7, 2020Jul 7, 2020
Getting Started With Kafka Streams-1Apache Kafka is a distributed streaming platform. Built in the year 2011 it was open-sourced by a group of linkedin data engineers. It is…Jun 30, 2020Jun 30, 2020
Published inAnalytics VidhyaUnderstanding Callbacks In KerasTraining a deep learning model is a very complex process. While training a model it is almost impossible to predict so many parameters of…Jun 2, 20202Jun 2, 20202
Understanding Few Shot Learning With Prototypical NetworksIn the real world getting enough data points for a model to work properly is not always feasible. Hence it is required to train the model…May 30, 2020May 30, 2020
Deep Q Learning: An Improvement Over Q Learning 1This article assumes thorough understanding of Q-Learning of the reader.Apr 13, 2020Apr 13, 2020
Neural Network Bits and Pieces: Why We Need Deep Learning For Unstructured DataStructured Data vs Unstructured Data:Apr 9, 2020Apr 9, 2020
