rexdeng,Rex Deng,github

100-days-of-code

100 Days of Code Challenge has been initiated by freeCodeCamp and Alexander Kallaway is doing awesome work for the good of community. We are initiating this challenge for our College Students at MCA (KIET Group of Institutions, Ghaziabad) and would be working with similar set of rules and guidelines.

100-days-of-ml

A day to day plan for this challenge (100 Days of Machine Learning) . Covers both theoretical and practical aspects

100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

100days-ml-code

100天机器学习（翻译+ 实操）

100daysofcode

100 Days of code project

100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

100daysofweb-with-python-course

Demo code and resources for our 100 Days of Web in Python Course

2019acmenforcement

2019ACM/NOI高级算法集训班

air-quality-prediction-

Generally, Air pollution refers to the release of pollutants into the air that are detrimental to human health and the planet as a whole. It can be described as one of the most dangerous threats that the humanity ever faced. It causes damage to animals, crops, forests etc. To prevent this problem in transport sectors have to predict air quality from pollutants using machine learning techniques. Hence, air quality evaluation and prediction has become an important research area. The aim is to investigate machine learning based techniques for air quality forecasting by prediction results in best accuracy. The analysis of dataset by supervised machine learning technique(SMLT) to capture several information’s like, variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments and analyse the data validation, data cleaning/preparing and data visualization will be done on the entire given dataset. Our analysis provides a comprehensive guide to sensitivity analysis of model parameters with regard to performance in prediction of air quality pollution by accuracy calculation. To propose a machine learning-based method to accurately predict the Air Quality Index value by prediction results in the form of best accuracy from comparing supervise classification machine learning algorithms. Additionally, to compare and discuss the performance of various machine learning algorithms from the given transport traffic department dataset with evaluation of GUI based user interface air quality prediction by attributes.

air_pollution_clustering

Finding similarities, aka as clustering, in air polution of multiple areas of India. The dataset comprises three types of air pollutant in India for specific cities. Techniques used: K-means clustering, Hierarchical Clustering, Affinity Propagation, Agglomerative Clustering, BIRCH Clustering, DBSCAN and Gaussian Mixture Model.

airpollutionsimulation

Simulating air quality in Unity with real-world data

algo

数据结构和算法必知必会的50个代码实现

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

aqi-project

audio-visualizer-python

a little GUI tool to render visualization videos of audio files

auto-review-generator

自动读取本地pdf文献并提取标题、作者、摘要和结论生成综述。Read and translate English literature to generate review automatically.

automatic-question-paper-generator-app

Web App for generating Question Paper Automatically.

beautiful-visualization-with-python

python数据可视化之美

cfdofreactiveflows

Collection of codes in Matlab(R) and C++ for solving basic problems presented and discussed in the "Computational Fluid Dynamics of Reactive Flows" course (Politecnico di Milano)