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rajeshidumalla/README.md

Hi there 👋

I am all about Data who

  • 💪 loves to solve complex problems in diverse domains
  • 🔥 handled challenging tasks in fraud detection, scoring algorithams & NLP Techniques
  • ⚡ plays with all kinds of data structures - text, image, graph, numerical etc
  • ☀️ at the end of the day, aims to make the data shine!
  • 📝 I am thinking write at Medium

📬 Reach me at : LinkedIn

Languages and Tools :

Python, R, SQL, GIT, PowerBI, Data Visualization, Deep Learning, MLOps

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  1. Recognizing-a-sign-with-Deep-Learning-Tensorflow Recognizing-a-sign-with-Deep-Learning-Tensorflow Public

    My goal is to build an algorithm capable of recognizing a sign with high accuracy. To do so, I am going to build a tensorflow model with deep learning methods.

    Jupyter Notebook

  2. GBM-Classification-on-Spam-Email GBM-Classification-on-Spam-Email Public

    This project about the GBM classification model on spam email data set and model optimisation.

    R 1

  3. Speech-recognition-model-development---NLP Speech-recognition-model-development---NLP Public

    Using Speech Commands Dataset to build an algorithm that understands simple spoken commands. By improving the recognition accuracy of open-sourced voice interface tools, we can improve product effe…

    Jupyter Notebook 1 1

  4. K-Means-PCA-the-Breast-Cancer-Wisconsin-dataset K-Means-PCA-the-Breast-Cancer-Wisconsin-dataset Public

    K-means is a least-squares optimization problem, so is PCA. k-means tries to find the least-squares partition of the data. PCA finds the least-squares cluster membership vector.

    Jupyter Notebook 4 1

  5. M2-Kernel-Methods M2-Kernel-Methods Public

    Kernel Versions of various machine learning algorithms. The following algorithms are checked by applying the kernel trick: PCA • KMeans • LASVM • One class SVM • Passive aggressive online algorithm

    Jupyter Notebook

  6. Image-Classification Image-Classification Public

    An application to recognise the cat images with the Accuracy of 80 %. From this project, I've learn how to: Build the general architecture of a learning algorithm, including: Initializing parameter…

    Jupyter Notebook 1