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Basic Math Theory
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Jump to Python
- Python Basic
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Deep Learning Zero To All
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Data Science School
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Deep Learning from Scratch
- We do not rely on libraries or frameworks, we create the core of deep learning from the bottom up.
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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.
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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
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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.
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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
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Web Scraping with Python