Decision Tree
In this post, I will explain another popular supervised machine learning tool called a decision tree classifier.
Posts by Tag
- machine-learning 4
- R 4
- Tensorflow 4
- statistics 3
- Keras 3
- Reference 2
- math 1
- data extraction 1
- linear-algebra 1
- nlp 1
- RNN 1
- PyTorch 1
- RNNs 1
- LSTM 1
- Backprop 1
- SVD 1
- PCA 1
- recursion 1
- graph theory 1
machine-learning
Default or No Default?
In this post, I will briefly go over an example of a Scikit-learn-based implementation of a support vector machine–a popular example of a supervised learning...
K-Means Clustering: Height/Weight
Previously, I posted about several examples of supervised learning algorithms, such as k-nearest neighbor. In this post, we will look at k-means clustering, ...
Logistic Regression
In this post, I will go over the “hello world” of machine learning–logistic regression. This post references Andrew Ng’s 2020 lecture on machine learning, av...
R
EDA with R
In this post, I will go over the what is perhaps the most important step in using R to analyze data–tidying. In fact, provided that many R functions work bes...
Data Transformation with R
This post is a continuation of my recent blog posts on learning R. This post, along with the others, references Hadley Wickham and Garret Grolemund’s R for D...
Visualization with R
In this post, I will continue on from the previous post on learning R, but will focus primarily on data visualization. As stated before, the contents of this...
First Attempt at R
In this post, I will go over what I learned during my first attempt at R.
Tensorflow
CNN with TensorFlow
In this post, I will cover my first attempt at learning about convolutional neural networks.
Classifying Movie Reviews: Keras
In this blog post, I will continue on from the last post in experimenting with Keras, mainly referencing François Chollet’s text, Machine Learning with Pytho...
MNIST with Keras
In this post, I will discuss my first attempt at creating a neural network with Keras, in which I will classify hand-written digits using the MNIST dataset.
statistics
Distributions II
In this post, I discuss the gamma, chi-squared, and exponential distributions.
Dive into Distributions
In this post, let’s dive into distributions.
Mathematical Statistics
In this post, I will discuss some of the basic statistical underpinnings of machine learning.
Keras
CNN with TensorFlow
In this post, I will cover my first attempt at learning about convolutional neural networks.
Classifying Movie Reviews: Keras
In this blog post, I will continue on from the last post in experimenting with Keras, mainly referencing François Chollet’s text, Machine Learning with Pytho...
MNIST with Keras
In this post, I will discuss my first attempt at creating a neural network with Keras, in which I will classify hand-written digits using the MNIST dataset.
Reference
Continued: DataFrame & Matplotlib
Identifying Values: Columns, Rows
Quick Review of DataFrame & Matplotlib
In this post, I created my own reference guide to dataframe and matplotlib.
math
Mathematical Statistics
In this post, I will discuss some of the basic statistical underpinnings of machine learning.
data extraction
Web scraping: a tutorial
In this post, I will go over what I learned while exploring some features of Beautiful Soup and data extraction using web-based API.
linear-algebra
Linear Mapping & Basis Change
In this post, I will go over some basic linear algebra used in machine learning.
nlp
Topic Identification with Tf-Idf
In this post, I will go over my first attempt at topic identification–the elementary stepping-stone to more advanced natural language processing tasks.
RNN
Back to Top ↑PyTorch
PyTorch Basics
This post covers my attempts at learning PyTorch–a framework that I had long intended to use, but never exactly had time to master in depth. Whereas experime...
RNNs
Recurrent Networks
This post covers the definition, principles, and basic workings of recurrent neural nets. The materials referenced in this post include the obvious ones, suc...
LSTM
Backprop with LSTM
Background
Backprop
Backprop with LSTM
Background
SVD
SVD, PCA
In this post, I wrote about the singular value decomposition and the principal component analysis.
PCA
SVD, PCA
In this post, I wrote about the singular value decomposition and the principal component analysis.
recursion
Recursion I
Tower of Hanoi
graph theory
Graph Theory I
In this post, I cover the basics of graph theory, including graph representations and simple graph search methods. In writing this post, I referenced my own ...