和Python相关的学习笔记：机器学习、算法、进阶书籍、文档，博客地址：https://www.howie6879.cn

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

Numerical Methods in SciPy

In this hands-on training notebook how to use the matplotlib library to plot beautiful graphs in python.

Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.

The University of California, San Diego, course DSE210x "Probability and Statistics in Data Science using Python" (Winter 2018): Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Part 2 of »Data Science« MicroMasters® on edX, Instructors: Alon Orlitsky and Yoav Freund, Professors of CS and En…

🎓 A collection of Problem Sets for "MITx: 6.00.2x Introduction to Computational Thinking and Data Science", edX, March-May, 2021.

Physical and Data Link Layer funtionalities of the TCP/IP Model. Manchester Encoding, Cyclic Redundancy Check (CRC), Frame by Frame communication and plotting graphs by PyLab.

Machine Learning with Python Examples

python-快速绘图。

A random walk model for diffusion of a drop of dye in water.

Yandex.Music daily users prediction using time series with ARIMA method.

Pythontec

Projects and Exercises created on the Course: Introduction to Computational Thinking and Data Science (MITx 6.00.2x) provided by the Massachusetts Institute of Technology (MIT) on EDX platform.

A simulation of Roombas cleaning a rectangular room with GUI and statistical analysis.

Python code to render a latex to image, connects to mathPix API to get proper response

further investigation into python through astronomical studies