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🌟 About Me:

Hi! πŸ‘‹ I'm Ram Narayan Gupta, a passionate learner and aspiring Data Science and Machine Learning Enthusiast. Currently, I am pursuing my B.Tech in Computer Science and Engineering at Raja Balwant Singh Engineering Technical Campus, Agra (AKTU).

πŸ”­ I’m interested in data science and machine learning. I love experimenting with data and creating models that can solve real-world problems. I am always excited to learn new concepts and technologies.

πŸ’Ό Current Projects:

  • Titanic Survival Prediction System (TSPS)
  • Working On Wind Speed Prediction System (WSPS)

πŸ‘¨β€πŸ’» Tech Stack:

  • Languages: Python, Java, C
  • Libraries & Tools: Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikit-learn, Plotly
  • Frameworks: Streamlit
  • Data Science: Data Cleaning, Data Visualization, Predictive Modelling, Data Manipulation, Data Handling

✨ Fun Facts:

  • I enjoy solving complex problems and turning them into elegant solutions.
  • I am constantly exploring new technologies and applying them in my projects.
  • I believe in continuous learning and collaboration with others to bring fresh ideas to the table.

🌐 Connect with Me:


πŸ’» Tech Stack:

Languages:

Libraries & Tools:

Frameworks:


πŸ“Š GitHub Stats:



πŸ“ˆ My Learning Journey:

🧠 Top Skills I've Acquired:

  • Data Cleaning & Preprocessing: I am proficient in preparing raw data for analysis, including handling missing values, normalization, and data transformation.
  • Exploratory Data Analysis (EDA): With Matplotlib and Seaborn, I dive deep into datasets to uncover hidden insights and trends.
  • Machine Learning: I build and deploy models using Scikit-learn and evaluate their performance to ensure accurate predictions.
  • Data Visualization: I create insightful and interactive visualizations using tools like Plotly and Streamlit to make data-driven decisions easy to understand.

πŸš€ Fun Projects:

Here are some of the projects I'm currently working on:

  1. Titanic Survival Prediction System (TSPS): The TSPS is a machine learning-based model designed to predict whether a passenger survived or not aboard the ill-fated RMS Titanic.
  2. Wind Speed Prediction System (WSPS): It's a smart system to predict wind speed using ML. Provides wind speed outputs in m/s and km/h with different altitudes.

πŸ“… Let's Collaborate:

I’m always open to collaborating on interesting projects, especially those involving data science and machine learning. If you want to connect, feel free to reach out via the links above!


🌍 Latest Contributions:

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