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:octocat:
leading a data science cohort
:octocat:
leading a data science cohort
28 followers · 4 following

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Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

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rahman-rakib/README.md

Hello there, this is Rakibur! 👋

A Data Science Teacher with keen interest in Machine Learning and Artificial Intelligence

  • :atom:   I am data science coach @ Spiced Academy
  • 🌱   At present, I'm learning new tools for Time Series Analysis and Natural Language Processing (NLP)
  • 📄   My research articles can be found @ iNSPIRE
  • 💙   I love metal music 🤘 travelling ✈️ and chess ♟️
My Toolkit


GitHub Stats

Feel free to reach out! 😃

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  1. Customer_Behavior_Simulation Customer_Behavior_Simulation Public

    Analysis of the behavior of customers in a supermarket with Markov Chain simulation of their section-wise movement. Animated visualization with object-oriented programming in Python

    Jupyter Notebook 1

  2. Temperature_Forecast Temperature_Forecast Public

    Time series analysis based on Berlin-Templehof area’s historical data of daily temperature, taking into account trend and seasonality issues. Produced a 3-day forecast with only 4% error

    Jupyter Notebook 1

  3. Twitter_Sentiment_Analysis Twitter_Sentiment_Analysis Public

    Implementation of a data pipeline that collects tweets, analyzes their sentiments, and publishes the annotated tweets on Slack in real time, utilizing two steps of database storage

    Python

  4. Song_Lyrics_Classification Song_Lyrics_Classification Public

    Text classification model trained on the song lyrics of two similar artists, with the corpus built from web scraping and HTML parsing

    Jupyter Notebook

  5. Covid19_QA_Chatbot Covid19_QA_Chatbot Public

    A covid-19 Q&A chatbot that is able to speak. Trained on FAQ's from WHO website and powered by GPT-3

    Jupyter Notebook 1 1

  6. Image_Detection Image_Detection Public

    Multiclass classification model of images built on artificial neural network, utilizing transfer learning, i.e., retraining the pre-trained MobileNetV2 network

    Jupyter Notebook