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Data Science Assignments

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I have completed and submitted all of them successfully. The assignments cover various topics such as data collection, cleaning, analysis, visualization, programming, and machine learning.

Assignments 1 - 7 are approved by the assignment team and demonstrate my skills and knowledge in data science.

Assignments Topices

  • Assignment 1 : Basic Statistics_Level 1

  • Assignment 2 : Basic Statistics_Level 2

  • Assignment 3 : Hypothesis Testing

  • Assignment 4 : Simple Linear Regression

  • Assignment 5 : Multi Linear Regression

  • Assignment 6 : Logistic Regression

  • Assignment 7 : Clustering

  • Assignment 8 : PCA

  • Assignment 9 : Association Rules

  • Assignment 10 : Recommendation system

  • Assignment 11 : KNN

  • Assignment 12 : Decision tree

  • Assignment 13 : Random Forests

  • Assignment 14 : Support Vector Machines

  • Assignment 15 : Neural Networks

  • Assignment 16 : Text Mining

  • Assignment 17 : Naive Bayes

  • Assignment 18 : Forecasting

Roadmap

There are 18 assignment folder with 3 sub-folder:

  • Assignment : All Problem Statements are kept here
  • Code : All ipynb file are kept here
  • Dataset : All .csv, .xlsx file are kept here

Note : Basic Statistics Level 1 and 2 may not have Dataset folder, as they have statistics question.

Current Topic For Approval

  • Current Folder : PCA

Tool Used

  • Language : Python
  • Libraries :
    • Visualization : Matplotlib, Seaborn, Plotly
    • Model Building : Sklearn, TensorFlow
    • Deployment : Pickle, Streamlit
  • Dataset : .csv, .xlsx

Support

For support, email kunalmallicks3@gmail.com .