Data Science & Machine Learning
  • Welcome
  • ML Basics
    • Gradient Descent
    • Cross Validation
  • Supervised Learning
    • Decision Tree
    • Linear Regression
  • Unsupervised Learning
    • K-Means Clustering
  • Neural Network
    • MNIST with CNN & FCL
    • What is Neural Network
    • Perceptron
  • Data Science
    • World Happiness Record
  • Projects
    • Stock Prediction with BERT (1)
    • Stock Prediction with BERT (2)
    • Text Generation
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  • Table of Contents
  • To Do List

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

NextML Basics

Last updated 5 years ago