Skip to content

AI Learning Hub

365 Days of Machine Learning

Initializing search

Home
AI Roadmap
Resources
365 Days of ML
Community
About
Site Policies

AI Learning Hub

Home
AI Roadmap
AI Roadmap
- Python
  Python
  - Getting Started
  - Python Basics
Resources
Resources
- Courses
  Courses
  - Bash
    
    Bash
    
    Bash Scripting: Introduction
    
    Variables
    
    Basic Math
    
    Control Statements
    
    For Loops
    
    While Loops
    
    Functions
    
    Case Statements
    
    Arguments
  - Deep Learning
    
    Deep Learning
    
    Deep Learning
    
    Neural Networks
    
    Loss Functions
    
    Activation Functions
    
    Weight Initialization
    
    Vanishing & Exploding Gradients
    
    Feedforward Neural Networks
    
    Convolutional Neural Networks
    
    Recurrent Neural Networks
    
    Transformers
    
    Generative Adversarial Networks
  - Docker
    
    Docker
  - Flask
    
    Flask
  - Git & Github
    
    Git & Github
    
    Working with Repositories
    
    Managing Files
    
    Exploring Commit History
    
    Branching and Merging
    
    Git Workflow
    
    Introduction to Github
    
    Collaborating on GitHub
  - Kubernetes
    
    Kubernetes
  - Machine Learning
    
    Machine Learning
    
    Introduction
    
    Supervised Learning
    
    Linear Regression
    
    Naive Bayes
    
    K-Nearest Neighbor
    
    Logistic Regression
    
    Decision Trees
    
    Unsupervised Learning
    
    Apriori Algorithm
    
    K-Means Clustering
    
    Principal Component Analysis
    
    Ensemble Learning
    
    Stacking
    
    Bagging
    
    Boosting
    
    Reinforcement Learning
  - Matplotlib
    
    Matplotlib
    
    Introduction
    
    Basics
    
    Chart Types
    
    Advanced Plotting
    
    Specialized Visualization
  - Mlflow
    
    Mlflow
  - Numpy
    
    Numpy
    
    Introduction
    
    Array Basics
    
    Array Operations
    
    Input/Output Operations
    
    Math Functions
  - Pandas
    
    Pandas
    
    Series
    
    Dataframes
    
    Working with Data
    
    Analyzing Dataframes
    
    Cleaning Data
  - Parsing Files
    
    Parsing Files
    
    Opening Files
    
    Reading Files
    
    Writing Files
    
    Copying Files
  - Python
    
    Python
    
    Introduction
    
    Basics
    
    Control Flow
    
    Data Structures
    
    Functions & Iterables
    
    Object-Oriented Programming
    
    Advanced Topics
  - Seaborn
    
    Seaborn
    
    Introduction
    
    Basic Plots
    
    Categorical Plots
    
    Advanced Visualizations
    
    Styling & Paletts
  - Sql
    
    Sql
  - Streamlit
    
    Streamlit
  - Web scraping
    
    Web scraping
365 Days of ML
365 Days of ML
- Python
  Python
- SQL with Python
  SQL with Python
Community
About
Site Policies

365 Days of Machine Learning

The ultimate overview of everything that you need to learn to work with Machine Learning.

Day 1: 365 Days of Machine Learning Journey

Copyright © 2024 Daniel Kornas

Made with Material for MkDocs