adarshkuthuru
Data Science and Quantitative Finance Strategist | Deep Learning | Machine Learning | Python | Full Stack Software Development | ISB Hyderabad | IIT Kharagpur
Boston, USA
Pinned Repositories
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
Deep-Learning
Code from the Deep Learning Specialization Assignments run on my local machine
adarshkuthuru's Repositories
adarshkuthuru/Deep-Learning
Code from the Deep Learning Specialization Assignments run on my local machine
adarshkuthuru/adarshkuthuru.github.io
Website
adarshkuthuru/AI-Copilot-Demo
Retrieval-Augmented Generation (RAG) using GPT-3 and Enterprise Data
adarshkuthuru/alphalens
Performance analysis of predictive (alpha) stock factors
adarshkuthuru/awesome-Python-data-science-books
Probably the best curated list of data science books in Python
adarshkuthuru/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.
adarshkuthuru/Big-Data-Analysis-with-Scala-and-Spark
Projects as part of coursework on Big Data with Scala and Spark
adarshkuthuru/big_data_tutorials
A collection of tutorials on Hadoop, MapReduce, Spark, Docker
adarshkuthuru/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;
adarshkuthuru/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
adarshkuthuru/coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
adarshkuthuru/Data-science
Collection of useful data science topics along with articles, videos, and code
adarshkuthuru/data-science-interviews
Data science interview questions and answers
adarshkuthuru/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.
adarshkuthuru/Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
adarshkuthuru/Finetuning-LLaMA2-with-QLoRA
adarshkuthuru/Grind-75
Leetcode Solutions in Python for Grind 75
adarshkuthuru/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).
adarshkuthuru/leetcode-patterns
A pattern-based approach for learning technical interview questions
adarshkuthuru/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.
adarshkuthuru/Money_Market_Mutual_Funds_Lit_Review
adarshkuthuru/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).
adarshkuthuru/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.
adarshkuthuru/Non-Linear-Multi-Objective-Optimization
adarshkuthuru/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.
adarshkuthuru/pyfolio
Portfolio and risk analytics in Python
adarshkuthuru/reproducible-data-science
Tutorials on creating a reproducible and maintainable data science project
adarshkuthuru/soft-eng-interview-prep
Everything you need to know for a Software Engineering interview
adarshkuthuru/Volatility-Spillovers-in-Indian-Commodity-Markets-Sept-2016
adarshkuthuru/zipline
Zipline, a Pythonic Algorithmic Trading Library