graph TD;
LINUX-->PROGRAMMING;
IDE-->PYTHON
PROGRAMMING-->IDE;
IDE-->GIT;
GIT-->PYTHON;
PYTHON-->MACHINE_LEARNING;
MACHINE_LEARNING-->DEEP_LEARNING;
- Linux
- Terminal
- C++
- Basics
- Python
- Git - Version Control System.
- GitHub
- GitLab
- IDE - Visual Studio Code, Sublime, Vim...
- Skill: To Learn
- Web programming
- Data Science
- Machine Learning
- deep learning
- Convolutional Neural Network
- deep learning
- Machine Learning
## terminal bash
$ cd C++/
g++ -o myprogram.exec myprogram.C## terminal bash
$ cd python
$ python myprogram.py## terminal bash
$ cd bash
$ source screenshot.sh- 20 Basic Linux Commands for Beginners!
- Basic Linux command line tutorial to start developing in Ubuntu Linux
-
Notes On Using Data Science & Machine Learning
- Machine Learning - Basics
- Vectors, Matrices, And Arrays
- Preprocessing Structured Data
- Preprocessing Images
- Preprocessing Text
- Preprocessing Dates And Times
- Feature Engineering
- Feature Selection
- Model Evaluation
- Model Selection
- Linear Regression
- Logistic Regression
- Trees And Forests
- Nearest Neighbors
- Support Vector Machines
- Naive Bayes
- Clustering
- Deep Learning
- Setup
- Keras
- PyTorch
- Python
- Basics
- Data Wrangling
- Data Visualization
- Web Scraping
- Testing
- Logging
- Statistics
- Basics
- Frequentist
- Scala
- Regular Expressions
- Snowflake
- Basics
- Tables
- PostgreSQL
- Basics
- Add, Delete, Change Rows
- Merging And Joining
- Tables
- Text
- Numeric
- Dates
- Interview Questions
- Mathematics
- AWS Amazon Web Services (AWS) - Cloud Computing Services
- Computer Science
- Algorithms
- Linux Command Line
- Basics
- Inputs And Outputs
- Search
- Text
- Flow Control
- Processes
- Shell Scripts
- Git And GitHub
- Machine Learning Engineering
- Kubeflow
- Docker
- Dockerfiles
- PHP