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datascience-machinelearning

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A-TALE-OF-THREE-CITIES

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

  • Updated May 3, 2021
  • R

This Repository contains the real life use cases of GenAI (LLM+RAG) in Finance Domain. I covers many projects use cases with theory and projects.

  • Updated Aug 28, 2024
  • Jupyter Notebook

This Repo contains tools that allow us to import, clean, manipulate, and visualize data β€”Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

  • Updated Jul 7, 2024
  • Jupyter Notebook

πŸš‚ Data πŸšƒ Scientist πŸš‹ is a curated πŸš‘ end to end πŸš’ showcasing 🚞 real world ✈ data science πŸš€ projects πŸ›Έ machine 🚁 learning 🚟 models and β›΄ data πŸ›³ engineering πŸ›Έ workflows 🚀 From data πŸ›Ό wrangling to πŸš’ deployment this 🚝 repo is proof β˜‚ of work and β›± personal πŸ›‘ lab everything 🎳 data driven ⚽ Classification ⚾ regression πŸ₯Ž clustering NLP

  • Updated Jul 18, 2025

This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.

  • Updated Mar 13, 2023
  • Jupyter Notebook

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