This is my code repository for various Machine Learning Algorithms. Those are namely Linear Regression,Logistic Regression,K-Nearest Neighbour,Naive Bayes,Decision Tree. Links to actual Jupyter Notebooks are given below.
- Logistic Regression
- Naive Bayes
- K Nearest Neighbour
- Linear Regression(SGD)
- EDA
- Decision Tree
- Preprocessing
- Mini Batch SGD has been implemented using python NumPy,Pandas libraries and tested on Boston House Prices dataset. Dataset can be found here
- Other Algorithms have been applied to Amazon Food Review dataset for sentiment analysis. Dataset can be fetched from this. Used python Sklearn library along with Matplotlib,NumPy,Pandas etc.
- One Exploratory Data Analysis example is added. Dataset used is Habermn Cancer Survival Dataset.
- Preprocessing of text data has been performed separately in Preprocessing file