📝 I regularly write articles on GFG webiste on topics related to ML/DL/LLM

📫 Reach me [email protected]

Index

1. End-to-end Machine Learning Projects: Repo containing projects that are built in a production-grade style by using modular coding, code containerization, deployment on cloud technology and open source ML tools.

   • Tweets Sentiment Analysis

   E2E Ml project using MLflow, Pytorch Lightning, GCP cloud, Docker

   • ETL Project

   Data Preprocessing Techniques for ETL using Dask data frame to process 3 Million records

   • House Price Prediction

   Predict House price using ML regression techniques

2. MLOps Projects: Repo containing projects that focus on using specific open-source ML Ops tools. The below repo can be used as a template to incorporate the tool within an end-to-end ML project.

   • MLflow Tracking server

   Deploy MLflow tracking server on GCP instance with PostgreSQL database and GCP cloud storage as backend

   • DVC

   Use of DVC for versioning data and storing it into GCP cloud storage.

   • Self Managed Kubernetes + Kubeflow + Dask Cluster

   Steps to install self-managed Kubernetes cluster on GCP and then install Kubeflow and Dask Operator. After the infrastructure setup we can use the kubeflow notebook to run distributed training on a dask cluster

   • Github actions

   Use Github actions to auto-deploy code on AWS Beanstalk

3. Classical ML Projects: Classical ML algorithm applied to business problems

   • Fraudulent Transaction Classification

   Fraudulent transaction identification using classical ML algorithms like KNN,LR DT,RF,XG

   • Churn Prediction for Telecom Company

   Churn Prediction using Logistic Regression and PCA for a telecom company

   • Customer Segmentation

   RFM analysis + Kmeans Clustering on Customer Invoice data

   • World countries Segmentation

   Clustering of Countries based on their important Economic Parameters

   • Auto EDA

   Using various Auto EDA tools like YDATA PROFILING, AutoViz , Sweetviz, Data prep, Dtale

4. LLM/NLP/DL projects:

   • Image Classification

   Image Classification using the Tensorflow framework and Efficient Net model for a vehicle insurance company during claims processing

   • ANPR

   Automatic Number Plate Recognition (ANPR) system using YOLO (You Only Look Once) for automatic reading of number plate

   • LLM Project

   Using LLM to build applications like chat with pdf and YouTube video summarizer

   • Transfer Learning Projects

     1. DAE -> Use DAE to generate new images
     2. MCTCT -> Fine tune MCTC model to translate audio to text
     3. PEFT -> Use PEFT to finetune flan-t5-base model for dialog summarization
     4. Reinforcement Learning -> Use open ai gym to train an agent in Taxi-v3 environment
     5. Semantic Similarity -> Use of DOC2VEC, SBERT, INFERSENT, USE for encoding sentences and prediction similarity score
     6. SeqtoSeq -> Fine tune whisper model for translating audio to text
     7. Text Generation -> Implement FNet from scratch for text generation
     8. Wav2Vec2 -> Use of wav2vec2 model for automatic speech recognition
     9. Translation -> Translate text from English to Hindi

5. Python Concepts: Python concepts required for AI/ML/DS

   • Basic_and_Advanced_Python_Concepts

   Collection of Python Basic and Advanced Concepts, Programming Questions

   • Python DSA

   Data Structure and algorithms using Python - Basic and advanced level

6. SQL Concepts: SQL concepts required for data analysis

   • SQL basic and advanced concept

   Basic intermediate and advanced concepts for data analysis

7. GENAI_NOTES : Collection of my personal notes plus documents from the net to understand the working of LLM and LIM

   • LLM and LIM Notes

   LIM and LLM documents

8. CheatSheets:

   • CheatSheets

   Collection of good cheatsheets sourced from the internet related to Statistics, ML, Python, SQL