mtfaye

mtfaye'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

  28.6k36889013.3k

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook9.1k1352.3k1.8k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.5k287221.8k

• blinksh/blink

  Blink Mobile Shell for iOS (Mosh based)

  Language:Swift6.2k1211.7k579

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.6k80189568

• kamyu104/LeetCode-Solutions

  🏋️ Python / Modern C++ Solutions of All 3430 LeetCode Problems (Weekly Update)

  Language:C++4.8k171491.6k

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.8k7521.1k

• cl2333/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

  Language:Python2.9k4961k

• codebasics/data-structures-algorithms-python

  This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

  Language:Jupyter Notebook1.3k31241.5k

• tensorflow/decision-forests

  A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

  Language:Python66824165112

• PacktPublishing/Clean-Code-in-Python

  Clean Code in Python, published by Packt

  Language:Python554244184

• nft-api/nft-api

  The Moralis NFT API: Your ultimate ally for top-tier NFT dApps. Build gaming platforms, secure wallets, bustling marketplaces, analytics tools, dazzling dashboards, and more with ease. Unlock your NFT potential.

  54718896

• opensanctions/opensanctions

  An open database of international sanctions data, persons of interest and politically exposed persons

  Language:Python52435212120

• Fraud-Detection-Handbook/fraud-detection-handbook

  Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

  Language:Jupyter Notebook517205177

• anujdutt9/Disease-Prediction-from-Symptoms

  Disease Prediction based on Symptoms.

  Language:Jupyter Notebook289159193

• dmis-lab/bern

  A neural named entity recognition and multi-type normalization tool for biomedical text mining

  Language:Python174165044

• Azure-Samples/azure-python-labs

  Labs demonstrating how to use Python with Azure, Visual Studio Code, GitHub, Windows Subsystem for Linux, and more!

  Language:Python166269106

• havanagrawal/GoodreadsScraper

  Scrape data from Goodreads using Scrapy and Selenium :books:

  Language:Python13041131

• krishnaik06/Finding-an-Outlier

  Language:Jupyter Notebook11931141

• Azure-Samples/AnomalyDetector

  Samples for the Anomaly Detection API documentation:

  Language:Jupyter Notebook9970617166

• khuyentran1401/customer_segmentation

  An end-to-end project on customer segmentation

  Language:Python812028

• KxSystems/docs

  Source for documentation site

  Language:HTML7471758

• vishnukanduri/Time-series-analysis-in-Python

  I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.

  Language:Jupyter Notebook603037

• jamesdj/tobit

  Simple Tobit regression in python

  Language:Jupyter Notebook442339

• vb100/AnomaliesDetection-with-TimeSeriesAnalysis

  This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.

  Language:Jupyter Notebook21118

• kamyu104/FacebookHackerCup-2021

  🏃 Python Solutions of All 27 Problems in FHC 2021

  Language:Python17605

• bhattbhavesh91/flipkart-price-tracker

  Flipkart Price tracker written in Python. Allows you to track prices of products on Flipkart and generate a sound alert

  Language:Python8313

• dice89/TimeSeriesAggregations

  Language:Jupyter Notebook2205

• aperezlebel/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python1000

• RoryDataScience/AnomalieDetectionMethods

  Discussion and Evaluation of Anomaly Detection Data Science Methods

  Language:Jupyter Notebook110