A collection of documented implementations of different Machine Learning Algorithms on a variety of datasets.
This repo is a collection of various ML algorithms and python tools for data analysis such as:
- Pandas
- Matplotlib
- Seaborn
- Numpy
- Plotly
- SciKit Learn
- SciPy
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forests
- K Means Clustering
- Principal Component Analysis
These algorithms are implemented on a variety of different datasets (911 Calls, titanic, iris flower dataset, College data and many more!).