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Hello there I am active here
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Hello there I am active here
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AkshaysrivatsVijayaraghavan/README.md
  • 👋 Hi, I’m @AkshaysrivatsVijayaraghavan
  • 👀 I’m interested in ... AI Robotics Machine Learning Software Engineering
  • 🌱 I’m currently learning ... AI
  • 💞️ I’m looking to collaborate on ... MNC and any Start up Project which provides me to do PhD in above specialization
  • 📫 How to reach me ... My Linkedin Profile ... https://www.linkedin.com/in/akshaysrivats

Popular repositories

  1. Stock-Market-Prediction-using-Numerical-and-Textual-Analysis Stock-Market-Prediction-using-Numerical-and-Textual-Analysis Public

    Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines, Stock to analyze and predict - SENSEX (…

    Jupyter Notebook 2 2

  2. Timeline-Analysis-COVID-19 Timeline-Analysis-COVID-19 Public

    Create a storyboard showing spread of Covid-19 cases in your country or any region (Asia, Europe, BRICS etc) using Tableau, Power BI or SAP, Use animation, timeline and annotations to create attrac…

    Jupyter Notebook 1 1

  3. Detection-of-Face-Mask Detection-of-Face-Mask Public

    Implement a real time face mask detector. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 link2 ● Task submission: 1. Host the cod…

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  4. Fault-Detection-System- Fault-Detection-System- Public

    Implement a Fault Detection System which, detects and eliminates the faulty products based on the shape/colour. ● Please go through the below link for more understanding ● Resources: link1 ● Task s…

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  5. Prediction-Using-Supervised-ML Prediction-Using-Supervised-ML Public

    Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours) Using simple linear regression model, forecasting the marks of a student based on t…

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  6. Prediction-using-Unsupervised-ML Prediction-using-Unsupervised-ML Public

    From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

    Jupyter Notebook