Advanced Text Generation with LSTM In the previous part of our journey, we explored the world of bigram models and gained valuable insights into language generation. We learned about character relationships, probability distributions, and the delicate balance between coherence and creativity in generating text. …

All the codes used here can be found in my Github Repository here. In the world of Natural Language Processing (NLP), data is the lifeblood that powers machine learning models. The quality and quantity of data often determine the success of these models. However, gathering and labelling large datasets can…

A Journey through Bigram Models and Beyond Unveiling the World of Language Generation Language generation, a remarkable field within artificial intelligence, empowers computers to create human-like text. My quest to comprehend this fascinating domain led me to dive deep into the captivating realm of Language Models (LLMs). As I began my learning journey through Andrej Kaparthy’s blogs…

Correlations are an essential tool in data science that helps us to understand the relationship between variables. In particular, we often use correlations to measure the strength and direction of the relationship between numerical variables. Then using these strengths and directions of relation we weed out unwanted columns also from…

One thing is for sure the way humans interact with each other naturally is one of the most difficult tasks for computers to understand. For computers, everything is to deal with numbers, so the language we speak, the sentence we form, the words we use in them and the relevant…

Consider a case in which you have completely Unstructured data of the population residing in one particular Geographical Location with various attributes like Name, DOB, assets, address, and any medical condition. Now you are given a task to extract information from these documents like Names and Medical ailments to infer…

Disclaimer: Can't Share the Code used in the actual Project as it is the property of my Employer. In Machine Learning, Information Retrieval is one of the most important applications, ranging from Digital Libraries, Music retrieval to Search engines. The one thing without which we can’t imagine our life today…

A friend of mine came to me with the dataset from Kaggle about customer churn and wanted to ask how a company is able to predict if the customer will stay with the company or will churn to some other company. …