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Akshaypaarcha/README.md

coding

💫 About Me:

👨🏻‍💻 An Aspiring Data Scientist currently getting my hands dirty on different software's. I am pursuing post graduate diploma in Data science while focusing on different data science projects side by side. A coffee freak, avid traveller and loves to tell stories, i have utilized my machine learning and deep learning techniques to empower the data and transform it to a story telling technique, thereby changing the raw data into a story.
📫 Reach me at [email protected]
🚀 I love to Travel

🌐 Conect with me in Socials Media:

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💻 Tech Stack:

Python R Oracle Anaconda MongoDB MySQL NumPy Pandas Plotly scikit-learn SciPy

📊 GitHub Stats:



✍️ Quote

ARISE! AWAKE! And stop not until the GOAL is reached -Swami Vivekananda

Popular repositories Loading

  1. Exploratory-Data-Analysis-on-Adani-Power-dataset Exploratory-Data-Analysis-on-Adani-Power-dataset Public

    This folder contains the relevant files

    Jupyter Notebook

  2. -MY-CALCULATOR -MY-CALCULATOR Public

    The calculator model is a tool that performs mathematical calculations. It is designed to help you with arithmetic operations such as addition, subtraction, multiplication, and division. You can en…

    Jupyter Notebook

  3. LANGUAGE-DETECTION LANGUAGE-DETECTION Public

    The language detection model is a tool that can figure out and tell you what language a given text is written in. It looks at the words, grammar, and other patterns in the text to make its determin…

    Jupyter Notebook

  4. CORRELATIONS-PIMA- CORRELATIONS-PIMA- Public

    The dataset also indicates whether each woman has diabetes or not. The goal of using this dataset is to develop a model that can predict whether a person has diabetes based on their measurements. T…

    Jupyter Notebook

  5. BMI BMI Public

    Analyzing the BMI dataset, we can gain insights into weight patterns, potential health risks, and the population's overall distribution of BMI values.

    Jupyter Notebook

  6. GOOGLE-PLAY-STORE GOOGLE-PLAY-STORE Public

    The analysis number of app downloads, user ratings, reviews, app categories, developer information, and app metadata. It can help identify popular app categories, top-rated apps, emerging trends, a…

    Jupyter Notebook