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:
- Linear Regression
- Logistic Regression
- K Nearest Neighbors (KNN)
- Random Forests
- Support Vector Machines
- K-Means Clustering