Welcome

A blog for machine learning data science tutorials and projects

Table of Contents

• Machine Learning Basic

  • Gradient Descent

  • Cross Validation

• Supervised

  • Decision Tree

  • Linear Regression

• Unsupervised

  • K-Means Clustering

• Neural Network

  • MNIST with CNN & FCL

  • Neural Network

  • Perceptron

• Projects

  • Stock Prediction with BERT

  • Text Generation

• Data Science

  • World Happiness Record

To Do List

• Colorizing Gray Images

• Sudoku Solver from Screenshots (or pictures)

• Support Vector Machine

• Generative Discriminative Analysis (LDA, QDA)

• Text Summarization (Report)

• Find Waldo with Faster-RCNN, YOLOv3, and SSD (Report)

• Normalization vs Standardization

• Principal Component Analysis

• Multiple Linear Regression

• Simple EDA (Walkthrough)

• Types of Data Visualizations (matplotlib, seaborn, pyplot) 2D