xandie985 Goto Github PK

ai-buffet

We will discover the working of LLMs, Agents, ML models and what not!

ai-courses-and-resources

air-quality-uci

The dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multisensor Device. The device was located on the field in a significantly polluted area, at road level,within an Italian city.

austin-animal-center-intakes---outcomes

Animal Center Outcomes from Oct, 1st 2013 to present. Outcomes represent the status of animals as they leave the Animal Center. All animals receive a unique Animal ID during intake. Annually over 90% of animals entering the center, are adopted, transferred to rescue or returned to their owners.

car_damage_detection

image classification task

car_insurance_claim_insights

cdmo-sat-solver

computer-vision-fruit-detection

data-scientist-roadmap2024

Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning

ethics-in-artificial-intelligence

genetic-alogorithm-implementation-in-python

A genetic algorithm is a search heuristic that is inspired by Charles Darwin's theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation.

linear-regression-for-stock-market-prediction

We have used Data Processing and training the Linear Regression model to predict the stock market for the next day. This model performs with around 70% accuracy.

machine-learning-deep-learning

mlops001

A basic mlops pipeline

naochallenge

natural-laguage-processing

ragfinancechatbot

An open/closed LLM powered RAG based chatbot using Financial Reports for query retrievals.

render_fastapi

task-manager-webapp-flask-heroku

Here I will create a weapp that helps in managing tasks via simplified web page. I will use Heroku to deploy the model.

text-mining-stocks---sentiment-analysis

time-series-forcasting

traffic-sign-classification-and-detection-using-ssd-and-cnn-improved-efficiency-optimized

I am still working to improve the model efficiency. So ain't the the end. Suggestion and tips are welcomed :)

udacity-intro-to-ml-with-tensorflow-scholarship-program

visual-representation-of-ds-algo

xandie985

My personal repo

xandie985.github.io