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  • Pune, Maharashtra, India
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desaiprasad1989/README.md

Hi there πŸ‘‹

Hi! I'm Prasad Desai, a budding Data Scientist passionate about extracting insights from data using Python, machine learning, and storytelling with visualizations. This GitHub portfolio showcases the projects I've worked on as I grow my skills in data science and data analytics.

πŸ“ˆ Learning in Progress Deep Learning (Keras/TensorFlow) Time Series Forecasting NLP (Natural Language Processing) Deployment (Streamlit, Flask)

πŸ’‘ Want to Collaborate? I'm open to collaborating on beginner/intermediate level data science projects! Feel free to fork, star ⭐, or message me.

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  1. The-Grand-Complete-Data-Science-Materials The-Grand-Complete-Data-Science-Materials Public

    Forked from krishnaik06/The-Grand-Complete-Data-Science-Materials

    The Grand Complete Data Science Guide With Videos And Materials

    Python 1

  2. Clustering-Analysis-with-KMeans-DBscan-Hierarchical-Clustering- Clustering-Analysis-with-KMeans-DBscan-Hierarchical-Clustering- Public

    Clustering Analysis with KMeans / Hierarchical Clustering / DBSCAN with Hyperparameter tuning function

    Jupyter Notebook

  3. EDA---Feature-Scaling EDA---Feature-Scaling Public

    Exploratory Data Analysis - Feature Scaling

    Jupyter Notebook

  4. Financial-Analysis-using-Microsoft-Power-BI Financial-Analysis-using-Microsoft-Power-BI Public

    Financial Analysis dashboard using Microsoft Power BI

  5. Recommender-System Recommender-System Public

    Anime Movies recommender system based on user ratings. Using a multilabel binarizer to encode the multilabel genre feature

    Jupyter Notebook

  6. Regression-Analysis Regression-Analysis Public

    Build a multiple linear regression model using the training dataset. Interpret the coefficients of the model. Build minimum of 3 different models.

    Jupyter Notebook