yshi39

yshi39's Stars

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.4k37088213.4k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.1k1.6k417.8k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.6k594294k

• PySimpleGUI/PySimpleGUI

  Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.

  Language:Python13.3k2293.6k1.8k

• rasbt/pattern_classification

  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

  Language:Jupyter Notebook4.1k38731.3k

• justmarkham/scikit-learn-tips

  :robot::zap: 50 scikit-learn tips

  Language:Jupyter Notebook1.7k1183433

• m2dsupsdlclass/lectures-labs

  Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

  Language:Jupyter Notebook1.4k795660

• tirthajyoti/Stats-Maths-with-Python

  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

  Language:Jupyter Notebook854384367

• ML-course/master

  A machine learning course using Python, Jupyter Notebooks, and OpenML

  Language:Jupyter Notebook7743125315

• Jcharis/Machine-Learning-Web-Apps

  Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

  Language:Jupyter Notebook561244567

• ZJULearning/MatlabFunc

  Matlab codes for feature learning

  Language:Matlab548626264

• stefmolin/Hands-On-Data-Analysis-with-Pandas

  Materials for following along with Hands-On Data Analysis with Pandas.

  Language:Jupyter Notebook410198811

• rasbt/stat451-machine-learning-fs20

  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

  Language:Jupyter Notebook383191197

• milaan9/Python_Computer_Vision_from_Scratch

  This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

  Language:Jupyter Notebook23430189

• milaan9/LaTeX4Everyone

  Learn LaTeX from scratch in an easy-to-follow but highly effective way. Get up to the level of professional document writeup, presentation creation and even generating graphics and figures in LaTeX.

  Language:TeX22320178

• milaan9/milaan9

  Language:Python19531197

• milaan9/Clustering_Algorithms_from_Scratch

  Implementing Clustering Algorithms from scratch in MATLAB and Python

  Language:Jupyter Notebook19440178

• milaan9/Python_Natural_Language_Processing

  This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

  Language:Jupyter Notebook19120173

• milaan9/Machine_Learning_Algorithms_from_Scratch

  This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

  Language:Jupyter Notebook18520178

• milaan9/Deep_Learning_Algorithms_from_Scratch

  This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

  Language:Jupyter Notebook16920170

• deric/clustering-benchmark

  Language:Java16152121

• alexgkendall/OPTICS_Clustering

  MATLAB Implementation of the OPTICS unsupervised clustering algorithm

  Language:Matlab562318

• milaan9/13_Python_scikit-learn_Module

  272011

• milaan9/JLUFE_Intelligent_Tech_2005-2006

  Language:Jupyter Notebook222032

• imaginespark/clustering

  Comparison among K-Means, DBSCAN and Density Peak

  Language:MATLAB21004

• milaan9/JLUFE-Python-Statistical-Analysis-Modeling_52192-62193

  Language:Jupyter Notebook21206

• milaan9/Python_Data_Science_Feature_Selection_Tutorials

  An introduction to feature selection in data science using Python (NumPy, Pandas, Scikit-learn) with Jupyter notebooks.

  12304

• unclebob7/kNN

  kNN clustering implementation on .roi image

  Language:Matlab7100

• xuyxu/data-mining-conferences

  Ranking, acceptance rate, deadline, and publication tips

  Language:Python4000

• yshi39/Python_Computer_Vision_from_Scratch

  Language:Jupyter Notebook100