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This repository contains the practical assignments for the Machine Learning course taught by Dr.Mohsen Ansari in Spring semester of 2023 at Sharif University of Technology

Jupyter Notebook 100.00%
decision-trees ensemble-learning kmeans lasso-regression lda linear-discriminant-analysis linear-regression logistic-regression ml naive-bayes neural-network pca pca-analysis polynomial-regression quadratic-discriminant-analysis ridge-regression spline support-vector-machines svm

ml-assignments's Introduction

Hi 👋, I'm Mohammad

A design enthusiast, software engineer, and computer engineering student.

  • 👨 I go by the handle theablemo in almost every social media. It consists of three parts: 1. The (Cause every human being is unique) 2. Able (I believe I can do all things if I put enough effort in it!) 3. Mo (As you can call me Mo instead of Mohammad)

  • 🔭 I’m currently working and looking to collaborate on HCI research

  • 🌱 I’m currently learning anything that can help me be a better researcher and human!

  • 🔬 My interests are in the following topics:

    • Human-Computer Interaction (HCI)
    • Software Engineering
    • Applied Artificial Intelligence

  • 👨‍💻 All of my projects are available at theablemo.github.io

  • 💬 Ask me about Flutter, Design

  • 📫 How to reach me [email protected]

  • ⚡ Fun fact I do 80% of my stuff in 20% of the time. (Thanks to the panic monkey)

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bash c cplusplus css3 dart django docker figma flutter git grafana html5 java javascript kafka linux nodejs oracle pandas postman python pytorch react scikit_learn seaborn swift tensorflow vuejs xd

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