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Anjureddyk/README.md

💫 About Me:

I'am currently working on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform business decision-making with generative AI.
I'm looking to collaborate on machine learning, deep learning, and AI projects, especially those involving LLMs, predictive analytics, or computer vision.
Enhancing my skills in API development and model deployment.
Ask me about data science, machine learning models, generative AI, or building web applications.
Fun fact: I'm passionate about exploring AI's potential in animation and storytelling, and I love writing blogs in my free time!

🌐 Socials:

LinkedIn Medium

💻 Tech Stack:

PythonAnaconda Django FastAPI Flask OpenCV MySQL Postgres SQLite Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git Docker

📊 GitHub Stats:


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  1. UPI_transaction_forecasting-Using_data_science_techniques_to_analyze_future_trends UPI_transaction_forecasting-Using_data_science_techniques_to_analyze_future_trends Public

    Introducing "UPI Bank Prediction"! A powerful web app that uses machine learning to forecast total values based on UPI bank, volume, value, month, year, and total volume. Gain valuable insights for…

    Jupyter Notebook 1

  2. Pet-Breed-Classification-Using-Convolutional-Neural-Networks Pet-Breed-Classification-Using-Convolutional-Neural-Networks Public

    CNN pet breed classification model with 78% accuracy. TensorFlow preprocessing and augmentation. User-friendly interface for instant breed prediction. Potential for pet industry applications.

    Jupyter Notebook

  3. -Data-driven-approach-for-forecasting-employee-absenteeism -Data-driven-approach-for-forecasting-employee-absenteeism Public

    Creating a model for forecasting employee absenteeism which helps HR's to take an advantage of making decisions.

    Jupyter Notebook

  4. Professionals-Cricket-League-of-India Professionals-Cricket-League-of-India Public

    The dataset used in this project includes IPL match statistics, team and player information, and season-wise data from the 2008-2020 seasons. The dataset was collected from reliable sources and cle…

    Python

  5. Binary_classification_for_predicting_diagnosis_of_breast_cancer Binary_classification_for_predicting_diagnosis_of_breast_cancer Public

    Breast cancer classification using machine learning to predict malignant and benign tumors, with 95% accuracy. Code includes data cleaning, feature selection, model training, and analysis.

    Jupyter Notebook

  6. email_spam_classification_using_naive_bayes email_spam_classification_using_naive_bayes Public

    This code is a Flask application that can be used to classify email messages as spam or not spam. The application uses a Naive Bayes classifier that is trained on a dataset of spam and not spam ema…

    Jupyter Notebook