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yash-gajjjar/README.md

Hi there 👋

I'm a data scientist / machine learning engineer.

Tech Toolbox 🛠️

  • Languages: Python, SQL, R
  • Frameworks & Libraries: Pytorch, Tensorflow, Keras, Scikit Learn, Numpy, Pandas, Matplotlib, Seaborn, RShiny, ggplot2
  • Specialties: Machine Learning, Neural Networks, Deep Learning, Time Series Analysis, Linear Models
  • Framework and Tools: Transformer, LLM, NLP, Hugging face, LangChain, Stremlit, Power BI, Tableau
  • Tools: AWS, Docker, Git

Certifications 📜

  • Coursera: Deep Learning, Machine Learning, Mathematics for ML Specializations

Contact 📧

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  1. Natural-Language-Processing-with-Disaster-Tweets Natural-Language-Processing-with-Disaster-Tweets Public

    This project involves building a machine learning model to classify tweets as disaster-related or not, using a dataset of 10,000 hand-labeled tweets to assist in real-time emergency detection.

    Jupyter Notebook

  2. ICR-Identifying-Age-Related-Conditions ICR-Identifying-Age-Related-Conditions Public

    This project involves building a predictive model to identify if a person has any of three specific medical conditions or none, using health measurement data to aid bioinformatics research.

    Jupyter Notebook

  3. Energy-Consumption-Time-Series-XGBoost-ML Energy-Consumption-Time-Series-XGBoost-ML Public

    Used XGBoost Gradient Boosting Decision Tree Supervised ML Algorithm

    Jupyter Notebook

  4. Weather-Forecasting-Supervised-ML Weather-Forecasting-Supervised-ML Public

    Used Random Forest, Decision Tree, Logistic Regression, and Supervised ML Algorithm

    Jupyter Notebook

  5. Predicting-Medical-Insurance-Price-ML Predicting-Medical-Insurance-Price-ML Public

    Used different types of supervised machine learning algorithms with one and multiple variables using categorical features.

    Jupyter Notebook

  6. Red-Wine-Data-Analysis-R Red-Wine-Data-Analysis-R Public

    Analyze the Red Wine Data and try to understand which variables are responsible for the quality of the wine.

    R