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Trying to make a better world
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Trying to make a better world

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tansugangopadhyay/README.md

Hey 👋, I'm Tansu Gangopadhyay !

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Glad to see you here!

Hello there! 👋 I'm a passionate student dedicated to exploring the fascinating realms of machine learning and data analysis. With a strong foundation in programming languages like Python and a keen interest in statistical modeling and algorithm development, I have embarked on a journey to unravel the potential of data. My GitHub repository serves as a dynamic showcase of my projects, ranging from predictive modeling and clustering to natural language processing and computer vision.

Driven by a curiosity to extract meaningful insights from complex datasets, my projects reflect my commitment to mastering the intricacies of machine learning. Leveraging tools such as scikit-learn, TensorFlow, and PyTorch, I've implemented diverse algorithms to tackle real-world problems. Whether it's predicting future trends, uncovering hidden patterns, or enhancing decision-making processes, my GitHub profile encapsulates the culmination of my hands-on experience and continuous learning in the dynamic fields of machine learning and data analysis. Join me on this exciting journey of exploration, experimentation, and innovation! 🚀


Rapidfire

  • 🔭 I’m currently working on Heart Failure Prediction System

  • 🌱 I’m currently learning Data Analysis and Machine Learning

  • ❓ Ask me about anything related to data models

  • ⚡ Fun fact: I keep night shift switched on at all times


Languages and Tools

CSS3 HTML5 JavaScript C++ AWS Docker TypeScript MySQL MongoDB Chart.js Linux Sass Git Arduino Adobe XD Keras Blender OpenCV Power Bi Java Illustrator Premiere Pro Prisma LaTeX Photoshop TensorFlow pytorch Figma Lightroom After Effects GraphQL Oracle Python

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  1. Netflix-Data-Analysis Netflix-Data-Analysis Public

    The Netflix data analysis model, developed using the powerful combination of NumPy, Pandas, and Plotly, serves as a valuable tool for extracting meaningful insights from the streaming platform's va…

    Jupyter Notebook 1

  2. Heart-Failure-Prediction-System Heart-Failure-Prediction-System Public

    A heart failure prediction model, crafted through the utilization of pandas, numpy, seaborn, and matplotlib, holds immense potential for real-life impact. By analyzing key health indicators, such a…

    Jupyter Notebook 1

  3. Google-Search-Analysis Google-Search-Analysis Public

    The primary use case for this endeavor was to gain valuable insights into the trending topics and search patterns on the world's most popular search engine. By utilizing PyTrends, a Python wrapper …

    Jupyter Notebook 1

  4. Cohort-Analysis Cohort-Analysis Public

    In this cohort analysis project, I harnessed the capabilities of several powerful Python libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to explore and derive insights from a substant…

    Jupyter Notebook 1

  5. Stock-Market-Analysis Stock-Market-Analysis Public

    In my stock market analysis project, I employed a powerful combination of Python libraries, including Pandas, Yfinance, and Plotly, to gather, analyze, and visualize financial data.

    Jupyter Notebook 2

  6. Text-Analysis Text-Analysis Public

    I recently developed a comprehensive text analysis model using a combination of powerful Python libraries, including Pandas, Plotly, WordCloud, Matplotlib, and TextBlob. Pandas served as the backb…

    Jupyter Notebook 1