Abhishek Bhardwaj's repositories
adv_nlp_workshop_odsc_europe22
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
cloud-foundation-fabric
End-to-end modular samples for Terraform on GCP.
dask-ml
Scalable Machine Learning with Dask
Data-Engineering-with-Apache-Spark-Delta-Lake-and-Lakehouse
Data Engineering with Spark and Delta Lake
Data-Engineering-with-AWS
Data Engineering with AWS, Published by Packt
Data-Engineering-with-Google-Cloud-Professional-Certificate
This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.
Data-Structure-Algorithms-LLD-HLD
A Data Structure Algorithms Low Level Design and High Level Design collection of resources.
full-blockchain-solidity-course-js
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
GCP-Complete-Google-Data-Engineer-and-Cloud-Architect-Guide-v-
Code Repository for GCP: Complete Google Data Engineer and Cloud Architect Guide(v), Published by Packt
gcp-data-engineering
Batch Processing , orchestration using Apache Airflow and Google Workflows, spark structured Streaming and a lot more
Gramformer
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
HackerRank-SQL-Challenges-Solutions
The solutions of all SQL hackerrank challenges using MySQL environment
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jina
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data
learn-to-cloud
Learn the fundamentals of cloud computing
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
machine_learning_examples
A collection of machine learning examples and tutorials.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
mlflow-examples
Basic MLflow examples
mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Python
All Algorithms implemented in Python
The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
TowardsDataEngineering
This repo contains commands that data engineers use in day to day work.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
uber-expenses-tracking
The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.