adarshkuthuru Goto Github PK

100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

adarshkuthuru.github.io

Website

ai-copilot-demo

Retrieval-Augmented Generation (RAG) using GPT-3 and Enterprise Data

alphalens

Performance analysis of predictive (alpha) stock factors

analyzing-nyc-311-service-requests

asset-pricing-replication-1

asset-pricing-replication-2

awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

awesome-python-data-science-books

Probably the best curated list of data science books in Python

azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

big-data-analysis-with-scala-and-spark

Projects as part of coursework on Big Data with Scala and Spark

big_data_tutorials

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

corporate-finance-paper-replications

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

coursera-natural-language-processing-specialization

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

customized-security-betas

data-science

Collection of useful data science topics along with articles, videos, and code

data-science-interviews

Data science interview questions and answers

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning

Code from the Deep Learning Specialization Assignments run on my local machine

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

finetuning-llama2-with-qlora

functional-programming-principles-in-scala

Coursera MOOC on the principles of functional programming and Scala

global-mutual-fund-price-and-holdings-data-cleaning

impact-of-political-regime-shifts-on-value-and-momentum

indian-mutual-fund-analysis

innovation-efficiency-and-return-predictability

job-seniority-similarity-nlp-models

Natural-Language-Processing-Models: (1) Sentence Similarity Models like SBERT, USE and density-based spatial clustering were used to find similarity between two jobs based on their Job Descriptions. (2) Seniority text was identified in the job descriptions and used to find jobs with similar seniority and work category (cluster).