Tutorial
Prompt Engineering. Tree of Thought + Chain of Thought
Prompt engineering is a dynamic, creative and powerful skill to learn in current AI LLM era. LLMs are a powerful tool to leverage for solving a variety of…
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Content Type: Tutorial
Step-by-step learning resources and implementation guides.
Tutorial
Using AI LLMs to accelerate learning, business problem solving
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…
Tutorial
Databricks for Data Science MLOps – model training deploy
Databricks is a good tool for building, training and deploying models. Easy to learn and use (1-2 days) https://github.com/datawisdomx1/DataScience-AI-ML-Ops-Platforms-Tools
Tutorial
Clustering- Unsupervised learning- Types, Metrics
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 –…
Tutorial
Classification- Types, Metrics and Comparison via Pipeline GridSearchCV
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…
Tutorial
Regression- Types, Metrics, Comparison via Pipeline GridSearchCV
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…
Tutorial
Data Science Process
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…
Tutorial
Common NLP Tasks and Libraries
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…
Tutorial
RandomForest Regression model for predicting US 10 year Treasury Bond Prices using Macroeconomic Data
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,…
Tutorial
Data Science – End 2 End Beginners Course Part 1 – Machine Learning and Data Analytics
Announcing the launch of our online course on Udemy and other online platforms. 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…
Tutorial
ML Map – Choosing the right algorithm for your problem
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…
Tutorial
Pandas for Data Wrangling – tutorial, cheat sheet
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…