Pinned Repositories
A-B-Test
This project, we will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
Analyzing-the-Stroop-Effect
In a Stroop task, participants are presented with a list of words, with each word displayed in a color of ink. The participant’s task is to say out loud the color of the ink in which the word is printed. The task has two conditions: a congruent words condition, and an incongruent words condition. In the congruent words condition, the words being displayed are color words whose names match the colors in which they are printed: for example RED, BLUE. In the incongruent words condition, the words displayed are color words whose names do not match the colors in which they are printed: for example PURPLE, ORANGE. In each case, we measure the time it takes to name the ink colors in equally-sized lists. Each participant will go through and record a time from each condition.
autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
chatqna
Gen AI qna
code_llm
FastAPI Application to Serve a Pre-Built LLM Models with Firebase Authentication”
conversational-ai
Conversational AI services
Data-Wrangling-Analysis-Visualisation-using-Twitter-API
To wrangle WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations.
Movie-analysis
This project is about investigating a dataset that contains information of 10000 + movies collected from The Movie Database(TMDb), including user ratings and revenue.
Titanic-Tableau-Story
For this project, I have created a data visualization using Tableau that tells a story, highlights trends and patterns in a data set. My work is a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
US-Bike-Share-Data
In this project, we will perform an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. We will compare the system usage between three large cities: New York City, Chicago, and Washington, DC. We will also see if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.
sumukhakaparthi's Repositories
sumukhakaparthi/Data-Wrangling-Analysis-Visualisation-using-Twitter-API
To wrangle WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations.
sumukhakaparthi/Titanic-Tableau-Story
For this project, I have created a data visualization using Tableau that tells a story, highlights trends and patterns in a data set. My work is a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
sumukhakaparthi/A-B-Test
This project, we will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
sumukhakaparthi/Analyzing-the-Stroop-Effect
In a Stroop task, participants are presented with a list of words, with each word displayed in a color of ink. The participant’s task is to say out loud the color of the ink in which the word is printed. The task has two conditions: a congruent words condition, and an incongruent words condition. In the congruent words condition, the words being displayed are color words whose names match the colors in which they are printed: for example RED, BLUE. In the incongruent words condition, the words displayed are color words whose names do not match the colors in which they are printed: for example PURPLE, ORANGE. In each case, we measure the time it takes to name the ink colors in equally-sized lists. Each participant will go through and record a time from each condition.
sumukhakaparthi/autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
sumukhakaparthi/chatqna
Gen AI qna
sumukhakaparthi/code_llm
FastAPI Application to Serve a Pre-Built LLM Models with Firebase Authentication”
sumukhakaparthi/conversational-ai
Conversational AI services
sumukhakaparthi/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
sumukhakaparthi/EDA_Red_wine_analysis_Rprogramming
In this project, I will use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore red wine data set for distributions, outliers, and anomalies.
sumukhakaparthi/generative-ai
Sample code and notebooks for Generative AI on Google Cloud
sumukhakaparthi/Gymnasium
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
sumukhakaparthi/meilisearch
A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow.
sumukhakaparthi/Movie-analysis
This project is about investigating a dataset that contains information of 10000 + movies collected from The Movie Database(TMDb), including user ratings and revenue.
sumukhakaparthi/US-Bike-Share-Data
In this project, we will perform an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. We will compare the system usage between three large cities: New York City, Chicago, and Washington, DC. We will also see if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.
sumukhakaparthi/llmx
An API for Chat Fine-Tuned Large Language Models (llm)
sumukhakaparthi/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
sumukhakaparthi/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
sumukhakaparthi/strapi
🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript, fully customizable and developer-first.
sumukhakaparthi/Wine-Quality
This project is about investigating a dataset on chemical properties and quality ratings of wine samples by going through the data analysis process. This project was done in response to Udacity's Data Analyst Nanodegree curriculum.
sumukhakaparthi/WorldQuant-University-Applied-Data-Science
WorldQuant University Applied Data Science