aditya goel·Nov 13, 2021Multi-class Classification of Mathematical-Numbers | CNN | Part4Below is the simple CNN based architecture, which we shall be building as part of this blog :- A colourful representation of the CNN would look something like below :-Cnn25 min readCnn25 min read
aditya goel·Nov 7, 2021Multi-class Classification of Mathematical-Numbers | DNN+Regularisation | Part3In case you are directly landing here, it’s highly recommended to have a view at this story. In this blog, we shall be using KERAs framework with TensorFlow backend, in order to create a Deep Neural Network and would apply Regularisation techniques. We shall be using MNSIT dataset, which consists…L1 Regularization11 min readL1 Regularization11 min read
aditya goel·Nov 6, 2021Multi-class Classification of Mathematical-Numbers | DNN+dropout | Part2In case you are directly landing here, it’s highly recommended to have a view at this story. In this blog, we shall be using KERAs framework with TensorFlow backend, in order to create a Deep Neural Network and would apply some drop-out. We shall be using MNSIT dataset, which consists…Dropout Regularization9 min readDropout Regularization9 min read
aditya goel·Nov 1, 2021Multi-class Classification of Mathematical-Numbers | Vanilla DNN | Part1In this blog, we shall be using KERAs framework with TensorFlow backend, in order to create a Deep Neural Network. We shall be using MNSIT dataset, which consists of 28*28 grayscale images, representing the hand-written images of numeric digits 0 to 9. The dataset is partitioned in 2 parts :- …Deep Neural Networks12 min readDeep Neural Networks12 min read
aditya goel·May 16, 2021Binary Classification using Decision-Tree ModelWelcome readers. Introduction to the problem :- In this blog, I would like to help you guys to build a Machine Learning model based on the Decision Tree Algorithm. Here, we shall be working on a smaller dataset of diabetic people. …Decision Tree Classifier12 min readDecision Tree Classifier12 min read
aditya goel·May 15, 2021Building ANN model post exploratory data analysisIntroduction to the problem :- In this blog, we would work with one of the popular data-set i.e. of LendingClub. Its a US peer-to-peer lending company, headquartered in San Francisco, California. It was the first peer-to-peer lender to register its offerings as securities with the Securities and Exchange Commission (SEC)…Artificial Neural Network19 min readArtificial Neural Network19 min read
aditya goel·May 16, 2021Multi-class Classification using Decision-Tree ModelWelcome readers. In case you have directly landed here, I strongly suggest you to go back and read through this link first. Introduction to the problem :- In this blog, I would like to help you guys to build a Machine Learning model based on the Decision Tree Algorithm. Here…Multiclass Classification5 min readMulticlass Classification5 min read
aditya goel·Apr 11, 2021Sneak view on Pandas, MatPlotLib & SeaBorn essentials aspectsFirst step to Pandas :- Anaconda comes with a lot of packages that you need for data science. In this course, we will also use Conda, a package manager. In case, you currently already have a version of pip or Conda installed, then you don’t need to reinstall everything. To…Pandas29 min readPandas29 min read
aditya goel·Dec 19, 2022Sentiment Classification using TensorFlow || NLP with DLIn this case you are landing here directly, it’s recommended to read through this blog first. In this blog, we shall be using the concept of word embeddings, in order to perform the Sentiment Analysis. …NLP7 min readNLP7 min read
aditya goel·Dec 19, 2022HandsOn with NLP using TensorFlowIn this blog, we shall be studying generating the Word-Encodings using Tensorflow library. Question:- Can you explain, what’s NLP ?Deep Learning5 min readDeep Learning5 min read
