-
Basic Math Theory
-
Jump to Python
- Python Basic
-
Deep Learning Zero To All
-
Data Science School
-
Deep Learning from Scratch
- We do not rely on libraries or frameworks, we create the core of deep learning from the bottom up.
-
Python for Data Analysis
- Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.
- It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications.
-
Hands Machine Learning Scikit Learn TensorFlow
- Explore the machine learning landscape, particularly neural nets
- Use scikit-learn to track an example machine-learning project end-to-end
- Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
- Use the TensorFlow library to build and train neural nets
- Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
- Learn techniques for training and scaling deep neural nets
- Apply practical code examples without acquiring excessive machine learning theory or algorithm details
-
Machine Learning in Action
- Tatistical data processing, data analysis, and data visualization in code.
- Tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification.
-
Machine Learning for the Web
- Get familiar with the fundamental concepts and some of the jargons used in the machine learning community
- Use tools and techniques to mine data from websites
- Grasp the core concepts of Django framework
- Get to know the most useful clustering and classification techniques and implement them in Python
- Acquire all the necessary knowledge to build a web application with Django
- Successfully build and deploy a movie recommendation system application using the Django framework in Python
-
Web Scraping with Python
-
Notifications
You must be signed in to change notification settings - Fork 2
101story/StudyML
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Just do It!
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published