CrisCorreaS/AD-prediction-classification-models

Alzheimer's Disease (AD) prediction using the OASIS-2 dataset

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howie6879/pylab

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

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SulaimanNiazi/Image-Histogram-Generator

Python based image histogram generator and plotter

Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jparedesDS/data-wrangling-titanic

Complete cleaning and text preparation of the mythical Titanic dataset with the pandas library

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labrijisaad/Data-scientist-tools-Matplotlib

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

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kangwonlee/nmisp

Numerical Methods in SciPy

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 10 - Forks: 59

p-j-r/diffusion_random_walk

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

Language: Python - Size: 20.5 KB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

eternalchaoticinflation/HistogramSim

Language: Python - Size: 200 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

lingarajsankaravelu/LatexToImageConverter

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

Language: Python - Size: 23.4 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

tburakozdemir/Machine_Learning

Machine Learning with Python Examples

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kmr0877/Realtime-Object-Tracking-using-Opencv

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.

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PeterSchuld/UCSanDiego_MicroMasters_DataScience-ProbabilityandStatistics

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 Engineering, University of California San Diego.

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PeterSchuld/MITx6.00.2x_IntroToDS

Massachusetts Institute of Technology course MITx 6.00.2x "Introduction to Computational Thinking and Data Science" (Winter 2019). An introduction to using computation to understand real-world phenomena. John Guttag, Professor of CS and EE, Massachusetts Institute of Technology. Part 2 of »Computational Thinking using Python« XSeries® program on edX.

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erikseyti/MITx-6.00.2x

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.

Language: Python - Size: 3.25 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

iamkirankumaryadav/Multiclass-Multilabel-Prediction

Multiclass Multilabel Prediction For Stack Overflow Questions

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shashwatkathuria/Socket-Programming

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.

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nawaljahmed/Python-Shortest-Path-Graph 📦

Creates a fixed graph and determines the shortest path in Python using NetworkX and PyLab.

Language: Python - Size: 17.6 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Yourius/Projects_Ya

Student's projects in Yandex. Praktikum (Yandex educational platform)

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mansipatel2508/Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison

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

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Anas436/Weather-Station-Clustering-using-DBSCAN-and-Scikit-learn-with-Python

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Anas436/Vehicle-Distinctive-Clustering-using-Hierarchical-Clustering-with-Python

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Anas436/Cancer-Detection-using-Support-Vector-Machines-with-Python

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Anas436/Customer-Churn-Prediction-using-Logistic-Regression-with-Python

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Anas436/Simple-Linear-Regression-With-Python

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Anas436/Multiple-Linear-Regression-with-Python

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Anas436/Polynomial-Regression-with-Python

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Mark808Johnson/MITx-6.00.2x

Problem set solutions for MITx: 6.00.2x (Introduction to Computational Thinking and Data Science), intermediate MOOC course

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huaminghuangtw/MITx-6.00.2x

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

Language: Python - Size: 1.65 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

swarna0712/Stock-Prediction-Time-Series-Data-Analysis

Auto ARIMA Model

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AlexandruPopa88/Roomba_cleaning_rooms--theoretical-model-

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

Language: Python - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mshumakov/vgraph

vGraph graph visualization tool for given sets of studied nodes.

Language: Python - Size: 241 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

adarshsrivastava11/numerical-methods

Codes for various important numeric method computation done during the course ESO208

Language: Python - Size: 659 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Timothy-Kornish/AstronomyProj3

further investigation into python through astronomical studies

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ayyll/python_draw

python-快速绘图。

Language: Python - Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

troj4n/Graphical-data-visualization-using-python

A tool that shows current captured data in the form of pie charts , bar graphs and line plots using matplotlib in python .

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