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Hi there, I'm Harshal Dharpure πŸ‘‹

🌟 Data Science Enthusiast | Machine Learning Enthusiast | Data Engineering 🌟

Welcome to my data-driven realm! 🌐 As a data magician and machine learning explorer, I'm on a journey to turn raw information into impactful insights. Let's dive into the world of AI and uncover the power of Large Language Models (LLMs) and General Artificial Intelligence (GenAI) apps! πŸš€

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πŸ‘©β€πŸ’» What I Do

  • πŸ“Š Data Alchemist: Transforming complex data into visual stories that speak volumes.
  • πŸ€– Machine Learning Explorer: Navigating the realms of AI and training models to predict the future.
  • 🌐 GenAI Applications: Building apps that harness the power of AI to create something extraordinary.

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🧰 My Toolbox

  • Languages: Python, R
  • Machine Learning: Scikit-learn, TensorFlow, Keras
  • Data Analysis: Pandas, NumPy, SQL
  • Visualization: Matplotlib, Seaborn, Plotly
  • GenAI: OpenAI's GPT-3, ChatGPT
  • Version Control: Git, GitHub
  • IDE: Jupyter Notebook, VS Code

🌐 Let's Connect

πŸš€ Let's Collaborate

Got an exciting project in mind or just want to talk tech? I'm all ears! Feel free to reach out, and let's bring innovative ideas to life together.

πŸ’Œ Contact me at: [email protected]

Looking forward to exploring the tech cosmos with you! 🌌

Harshal Dharpure's Projects

django-app icon django-app

I have created a Django app to calculate the number of people infected in the country by covid-19 virus. I have use covid-19 API and integrate it into the project which can do real-time monitoring on active cases in the country and get updated.

dlct_lungdetect icon dlct_lungdetect

DLCT_LungDetect : Lung Tumor Detection and Classification using Deep Learning Models

kyphosis_diseases_classification icon kyphosis_diseases_classification

A kyphosis is a spine curvature that is unusually convex. There are 81 rows and 4 columns in the kyphosis data frame. Data about children who have had corrective spinal surgery is represented. INPUTS: Age: in months Number: the number of vertebrae involved Start: the number of the first (topmost) vertebra operated on INPUTS: Age: in months Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of verte

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