Skip to content
View Pranamchand's full-sized avatar

Block or report Pranamchand

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please donโ€™t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
Pranamchand/README.md

Hey There ,
I am Pranam

Typing SVG


๐Ÿš€ About Me

Aspiring Data Scientist
Focused on turning raw data into meaningful insights and solving real-world problems.

  • ๐Ÿ”ญ Currently Working On: Strengthening my skills in Data Science and Machine Learning through hands-on projects while continuously improving my problem-solving and programming abilities.
  • ๐ŸŒฑ Learning: Data analysis, machine learning, programming, and practical AI applications.
  • โšก Projects Include: Data analysis, data cleaning, data visualization, machine learning, and continuous project-based learning.
  • ๐Ÿ“ซ Connect With Me: LinkedIn ย  Portfolio ย  GitHub

๐Ÿ› ๏ธ Tech Arsenal

Python R Language Java HTML5 Pandas NumPy Matplotlib Seaborn SQL

MySQL Excel Power BI Jupyter Google Colab VS Code ChatGPT AI Studio Antigravity Machine Learning

Banner

"Data will Talk to You if You are Willing to Listen"

Pinned Loading

  1. Basic-Centiment-Analysis Basic-Centiment-Analysis Public

    This is a Machine Learning-based Sentiment Analysis model that predicts the basic emotional sentiment of a given text. The model analyzes user input and classifies it into different sentiment categโ€ฆ

    Jupyter Notebook 1

  2. Kaggle-Competition Kaggle-Competition Public

    A collection of my ๐—ž๐—ฎ๐—ด๐—ด๐—น๐—ฒ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ถ๐˜๐—ถ๐—ผ๐—ป solutions, notebooks, and machine learning projects featuring data preprocessing, feature engineering, model development, and performance optimization.

    Jupyter Notebook 1

  3. Weather-Temperature-Prediction-Model Weather-Temperature-Prediction-Model Public

    A ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐ฅ๐ž๐š๐ซ๐ง๐ข๐ง๐  pipeline for predicting next-day ๐ฆ๐š๐ฑ and ๐ฆ๐ข๐ง ๐ญ๐ž๐ฆ๐ฉ๐ž๐ซ๐š๐ญ๐ฎ๐ซ๐ž๐ฌ using Past weather data.

    Jupyter Notebook 1

  4. Heart-Disease-Risk-Assessment-ML-project Heart-Disease-Risk-Assessment-ML-project Public

    โค๏ธ Heart Disease Risk Prediction web app built with Streamlit and implemented Machine Learning Algorithm, providing real-time risk assessment based on clinical health parameters.

    Jupyter Notebook 1

  5. Costomer-churn-EDA Costomer-churn-EDA Public

    Telco Customer churn ๐„๐ฑ๐ฉ๐ฅ๐จ๐ซ๐š๐ญ๐จ๐ซ๐ฒ ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ (๐„๐ƒ๐€) ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ . Analyse avalable Dataset and extract insights to help reduce costomer churn by indentifying general casus. .

    Jupyter Notebook 1

  6. Movie-Recommendation-System-using-NLP-TF-IDF Movie-Recommendation-System-using-NLP-TF-IDF Public

    A Natural Language Processing (NLP) powered recommendation system that suggests movies based on semantic similarity using TF-IDF Vectorization and Cosine Similarity.

    Jupyter Notebook 1