Step-by-step learning resources and implementation guides.
Prompt engineering is a dynamic, creative and powerful skill to learn in current SI LLM era. LLMs are a powerful tool to leverage for solving a variety of problems. To do that…
Haven't blogged in a while, thought might be good to put some recent thoughts (X tweets) in one place. Last few years has seen alot of trend shift in SI every 3-6…
Databricks is a good tool for building, training and deploying models. Easy to learn and use (1-2 days) It has useful features like experiment tracking, logging and versioning the best model during…
This article will discuss the basic theory and relevant code examples for different clustering algorithms. Code for different algorithms and data used are given in github. Note – Make sure to point…
This article will discuss the basic theory and relevant code examples for different classification algorithms. It will also show how to test and compare multiple classification algorithms at once on the same…
This article will discuss the basic theory and relevant code examples for different regression algorithms. It will also show how to test and compare multiple regression algorithms at once on the same…
Most data science problems can be solved by following a standard process Process Flow diagram with some details is given below. This is just one of the many ways to solve data…
Common NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is to show how to perform different NLP (Natural Language Processing) tasks using…
Building a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It's the other process steps that require most of the work - problem definition, #datawrangling, model selection, #optimization, deployment,…
Announcing the launch of our online course on Udemy and other online platforms. https://youtu.be/ZacHdseW00A Udemy course link is - https://www.udemy.com/course/datascience-e2e-beginnerscourse-machinelearning-dataanalytics/learn/lecture/25000096#overview Data Science is a multi-disciplinary profession which requires a combination of 3…
Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job. Different estimators are better suited for different types of data and different…
Pandas is a powerful python library for data manipulation. It requires limited query level optimisation as its functions can perform rapid data manipulation and analysis on the entire data set. Below is…
