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405 search results found
Machine Learning Resources
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137
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Bcs_workshop_apr_20
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133
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
Rsgislib
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130
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
Youtube Like Predictor
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126
YouTube Like Count Predictions using Machine Learning
Pandas Tutorial
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124
Jupyter Notebooks and Data Sets for Pandas Library
Dh Core
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118
Functional data science
Awesome Tda
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117
A curated list of topological data analysis (TDA) resources and links.
Data Science Case Studies
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115
Data Science Case Studies for computer science students.
Jiro Nn
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113
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Probatus
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110
Validation of classifiers and data used to develop them
Ml Resource
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110
A concise resource repository for machine learning
Ds100 Textbook Zh
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107
📖 [译] UCB DS100 数据科学的原理与技巧
Books
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106
Books related to AI/ML/DL/GENAI
Ggshaker
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104
An analysis and visualization R package that works with publicly available soccer data
Pyvbmc
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97
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Shinymlr
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88
shiny-mlr: Integration of the mlr package into shiny
Pymc Example Project
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87
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Classix
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85
Fast and explainable clustering in Python
Dadapy
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83
Distance-based Analysis of DAta-manifolds in python
Sytora
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83
A sophisticated smart symptom search engine
Data Science Articles
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82
A collection of my blogs on Data Science and Machine learning.
Practicalmachinelearning
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79
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Hyperspectral_image_analysis_simplified
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77
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Awesome Python Machine Learning Resources
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77
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
Python_ml_tutorial
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76
A complete tutorial in python for Data Analysis and Machine Learning
Ds Student Resources
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74
Data Science Student Companion Notebooks and Data Lake
Customer Lifetime Prediction Using Python
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72
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
Prism
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70
Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
Datawranglingpy
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70
Minimalist Data Wrangling with Python (Open-Access Textbook)
The Sparks Foundation
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68
📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨💻
Data Science And Machine Learning Projects Dojo
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67
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Fast_dash
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61
Turn your Python functions into interactive apps! Fast Dash is an innovative way to deploy your Python code as interactive web apps with minimal code changes.
100 Python Projects
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61
100 Python Projects
Kwx
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57
BERT, LDA, and TFIDF based keyword extraction in Python
Data Analysis In Action
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57
📖 R 语言数据分析实战(写作中) Data Analysis in Action Using R
Cc33z
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57
Curso de Ciência da Computação
Ciencia De Dados Projetos
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55
Repositório para meus projetos de ciência de dados (Web scraping e automação + análise exploratória de dados + machine learning + sistema de recomendação)
Lapd Crime Classification Analysis
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54
A Los Angeles Times analysis of serious assaults misclassified by LAPD
Pychattr
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54
Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
Causeinfer
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54
Machine learning based causal inference/uplift in Python
Genieclust
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53
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
Fxy
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53
Security-Scenes-Feature-Engineering-Toolkit, Continuous Integration.一款安全数据特征化工具
Data Science Lunch And Learn
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52
Resources for weekly Data Science Lunch & Learns
Awesome Data Science Resources
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51
Resources about data science, machine learning, deep learning, data engineering, and SQL.
Mathematicavsr
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51
Example projects, code, and documents for comparing Mathematica with R.
Azimuth
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50
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Kuscia
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50
Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.
Neural Finance
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49
Neural Network for HFT-trading [experimental]
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
Kaggle Study
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47
TIA(Today I Analyzed) - Data Analysis, Kaggle Study
Machinelearningect
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46
For better displaying html files and course material use this link
Tatevkaren Data Science Portfolio
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46
Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and additional resources are all included.
Sciblox
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46
sciblox - Easier Data Science and Machine Learning
Responsible Ai Toolbox Mitigations
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45
Python library for implementing Responsible AI mitigations.
Sliceguard
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43
A library for detecting problematic data segments in structured and unstructured data with few lines of code.
Datasciencewithpython
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43
Learn Data Science with focus on adding value with the most efficient tech stack.
Dqlab Career Track
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42
A collection of scripts written to complete DQLab Data Analyst Career Track 📊
Architect_big_data_solutions_with_spark
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42
code, labs and lectures for the course
Libmaxdiv
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41
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
Spotify Audio Features Data Experiment
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41
Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.
Xgboost Smote Detect Fraud
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41
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
Hipart
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41
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
Facerec Bias Bfw
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40
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Data Science Regular Bootcamp
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39
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.
Machine Learning Ds Interview Questions
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39
🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDFs on MLStack.Cafe. Post your ML Jobs 👉
Jiayuan
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37
a web crawler and data analysis repo with Python3.5, R, Excel 2016 and TAGUL
Covid Social Analysis
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36
Apply ML on weibo sentiment. 疫情背景下微博文本情感分析与可视化
Machine Learning Basics
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34
Tutorial on Machine Learning Basics with Python
Ml Hub
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33
A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.
Ides
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32
智能数据探索服务(Intelligent Data Exploration Service),一站式Data + AI数据解决方案!
Docker Ocaml Jupyter Datascience
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30
Dockerfiles for data science in OCaml on Jupyter
Nostradamus
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30
🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.
Complete Data Science Roadmap
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29
Complete Roadmap For Data Science
Intrusion Detection System
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28
IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider.
Rahul_raoniar_blogs
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28
Contains code and data for "The Researchers' Guide" Medium blogs
Trilha De Estudos De Data Science
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28
Técnicas e recursos para estudar ciência de dados.
Hg Da
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27
<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소
Drugs Recommendation Using Reviews
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27
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Skillshare Data Science
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27
Skillshare Data Science and Business Analytics in Python
Zero True
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26
Zero-True: A collaborative notebook built for data scientists
Data Analyst Nanodegree
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26
Kai Sheng Teh - Udacity Data Analyst Nanodegree
Learn Data Science In 3 Months
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26
Course Curriculum and Resources for Learning Data Science in 3 Months
Python_tour_of_data_science
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26
A Python Tour of Data Science
Data_analysis_notes
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25
📖 Machine learning algorithms and deep learning algorithms
Osm Data Classification
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24
OpenStreetMap Data Classification
Data Science For Architecture
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24
Repository for data science study for architecture, engineering and construction (AEC)
Cgpm
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24
Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
Braph 2
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24
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Fraud Detection In Online Transactions
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23
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Atrof.github.io
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23
Data Science Portfolio by Artyom Trofimov
Machine Learning Tutorial
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23
Machine Learning Tutorial
Easy Data Processing Library
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23
An extreme easy python local data base
Thepersonalmsds
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23
The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University
Machine Learning For Dummies
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22
Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.
Shapley_regressions
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22
Statistical inference on machine learning or general non-parametric models
Imoka
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22
interactive Multi Objective K-mer Analysis
Kaggle Notebooks
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22
My public Kaggle notebooks
Mlmachine
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22
mlmachine accelerates machine learning experimentation
Higgs Decay Classification
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21
Classification of Higgs boson decays using machine learning. Project for the "Tandem Project" activity at Master degree in Physics.
Algo Trading
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21
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
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