Machine learning is starting to pop up every where you look. While it may seem like a buzz word (or phrase), you can see it being implemented in daily consumer products such as your phones and on social media. Without a doubt, machine learning is here to stay and revolutionize our lives (i.e. fully autonomous cars).
Recently, I started learning more about machine learning and how to implement it in python. As I learn, I will be blogging about different topics that make up machine learning such as feature encoding, feature scaling, implementing different algorithms etc.
Here are my machine learning posts:
General
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Data Pre-processing
Machine Learning Algorithms
- Difference between supervised and unsupervised learning models
- Implementing a Simple Linear Regression model in python
- Implementing a Multivariate Linear Regression model in python
- Implementing a Polynomial Regression model in python
- Implementing a Binomial Logistic Regression model in python
- Implementing K-Nearest Neighbors in python
- Implementing Support Vector Machine (SVM) algorithm in python