Popular GitHub Repositories for Dataanalysis

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:

Weekly visualization report of Open LLM model performance based on 4 metrics.

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

Worked on a dataset of high entropy alloys which is used to design materials for additive manufacturing. Being responsible for Performing Data Analysis and constructing Machine learning algorithms, including neural networks, Gradient boosting for carrying predictions useful for advanced material invention.

Introduction to machine learning

Data Science and Artificial Intelligence advanced certification course led by the IIT Madras & Intellipaat

???? Introducing SecureCreditAI: An advanced AI-based system designed to detect credit card fraud and ensure financial security. Our cutting-edge algorithms are meticulously crafted to identify fraudulent patterns and unusual activities within credit cards and financial systems. ???

?? Accident damage estimation for insurance companies using the CatBoost algorithm. ?? This advanced technique utilizes machine learning to provide accurate estimates for assessing damages caused by accidents. ?? Enhance efficiency and accuracy in insurance claim processes with the power of CatBoost! ??

ASHRAE - Great Energy Predictor III: How much energy will a building consume?

Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

Python to convert audio input from the microphone to text, generate a response from GPT-3 using the OpenAI API, convert the response to speech using the gTTS library, and save the audio to a file.

This Python code creates a web application that allows users to chat with a conversational AI model to ask questions about the content of uploaded PDF files. It leverages Google AI services for text embedding and question answering, as well as libraries for PDF processing, text manipulation, and vector similarity search.

A Streamlit application demonstrating the use of AI agents for various tasks. Features a video analyzer using Google's Gemini, a financial data agent using YFinance and DuckDuckGo, and a PDF question answering agent using Groq and ChromaDB

Numeral Prediction from short Audio Sequence