Data Science Assignments

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

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