Adarsh Kuthuru's repositories
Deep-Learning
Code from the Deep Learning Specialization Assignments run on my local machine
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
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
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-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.
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.
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
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).
leetcode-patterns
A pattern-based approach for learning technical interview questions
Loan-Default-Prediction-and-Quantization-of-FICO-Scores
This repository contains predictive models that estimate the probability of a borrower defaulting on a loan based on several features of the borrower, as well as a quantization technique for bucketing FICO scores for better predictive performance with categorical inputs.
Motor-Vehicle-Collision-Analysis-with-Streamlit-App
The objective of this project is to create a Streamlit application that visualizes and performs exploratory data analysis (EDA) on motor vehicle collisions in New York City (NYC).
Natural-Gas-Price-Prediction-and-Contract-Value-Estimation
This repository houses scripts and algorithms designed to forecast natural gas prices based on historical data and estimate the value of contracts.
NYC-Neighbourhood-Distress-Complaints-Exploratory-Data-Analysis
This excercise exemplifies a professional and meticulous approach to data analysis of 311 Service Requests in NYC, adhering to corporate standards of clarity, organization, and attention to detail.
pyfolio
Portfolio and risk analytics in Python
reproducible-data-science
Tutorials on creating a reproducible and maintainable data science project
soft-eng-interview-prep
Everything you need to know for a Software Engineering interview
zipline
Zipline, a Pythonic Algorithmic Trading Library