In this age of social media and online business era, text data are coming from everywhere. However, dealing with text data is tricky. Because raw text may come in with…
All the tutorials about TensorFlow and neural networks I have shared until now have been about supervised learning. This one will be about the Autoenocder which is an unsupervised learning technique. If I…
I have a few tutorials on Exploratory Data Analysis before. But I feel I should do some more of that. Taking a dataset and explore it, doing the data cleaning, analytics, visualization,…
https://www.youtube.com/watch?v=nB8RnKwl3KITFIDF is a method to convert texts to numeric form for machine learning or AI models. In other words, TFIDF is a method to extract features from texts. This is…
The most basic data processing that any Natural Language Processing (NLP) project requires is to convert the text data to the numeric data. As long as the data is in…
TensorFlow is arguably the most popular library for deep learning. I wrote so many tutorials on TensorFlow before and still continuing. TensorFlow is very well organized and easy to use…
Support vector machine is one of the oldest and till popular machine learning models. I wrote tutorials on more complex deep learning methods before but I should work on some…
In TensorFlow we get everything ready for us. It takes care of the mathematical part for us. But to a lot of extent, we can take control of the mathematical…
As per Wikipedia, here is the definition of Tensors: “In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects related to a…
Neural Networks are great and very popular in AI/ML spaces, but they require too much data to train. For tasks like object detection, signature verification, voice verification, and prescription pills…