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Portfolio Projects on Data Science from the course "Python for Data Science and Machine Learning Bootcamp"

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rudrajit-kargupta/DS-ML-AI_Portfolio_Projects-Udemy

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DS-ML-AI_Portfolio_Projects-Udemy

Portfolio Projects on Data Science from the course "Python for Data Science and Machine Learning Bootcamp"

Built on Python using Jupyter Notebook using Anaconda 4.8.3. Because I used conda to setup the environment, most of the following libraries came pre-installed in the environement. However, if using some other platform ensure that the followng libraries are installed in your environment: NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Tensorflow.

Contains some basic projects on:

  1. Linear Regression
  2. Logistic Regression
  3. K Nearest Neighbors (KNN)
  4. Random Forests
  5. Support Vector Machines
  6. K-Means Clustering

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Portfolio Projects on Data Science from the course "Python for Data Science and Machine Learning Bootcamp"

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