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Built neural networks (NNs) and Regression models for supervised learning. The NN task is formulated as multi-class classification problem for hand-written images, and the goal is to model the relationship between an image’s content and label. Also uses knowledge on Regression models to predict housing prices in Boston to develop Machine Learning skills.

knn-regression linear-regression machine-learning neural-networks regression-analysis regression-models svm-regressor

machine-learning-models's Introduction

  • 👋 Hi, I’m @Sazee a ML engineer who also loves to play with Data(Python, SQL, Scala, R Scripts)
  • 👀 I’m interested in Data Engineering, Analysis, and Machine Learning/ Deep Learning.
  • 🌱 I’m currently learning ML concepts- supervised learning SVM, Random Forest, Decision trees and Deep learing concepts like Neural Networks, CNNS, RNNS, transformer networks.
  • 💞️ I’m looking to collaborate on ML/Deep learning/Data Analysis projects.
  • 📫 Reach me at LinkdIn: https://www.linkedin.com/in/sazee-s/

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