Topic: datascience-machinelearning Goto Github
Some thing interesting about datascience-machinelearning
Some thing interesting about datascience-machinelearning
datascience-machinelearning,Trend analysis of Bitcoin-Cryptocurrency markets Project Description The aim of the project is to better understand the growth and impact of Bitcoin and other cryptocurrencies in the financial markets. In this , we will explore the market capitalization of different cryptocurrencies.
User: 0xpranjal
datascience-machinelearning,Applied Data Science with Python University of Michigan
User: aasu14
datascience-machinelearning,The dataset having Pneumonia and Normal chest X-Ray images were trained on different numbers of epochs to check the variability in the training and validation accuracies. The ResNet50 model with the highest and closest Training and Validation accuracies was then used for the prediction.
User: abhisaste5402
datascience-machinelearning,This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.
User: alairdata
datascience-machinelearning,A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows: Usage diamonds Format A data frame with 53940 rows and 10 variables: price price in US dollars (\$326–\$18,823) carat weight of the diamond (0.2–5.01) cut quality of the cut (Fair, Good, Very Good, Premium, Ideal) color diamond colour, from D (best) to J (worst) clarity a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best)) x length in mm (0–10.74) y width in mm (0–58.9) z depth in mm (0–31.8) depth total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43–79) table width of top of diamond relative to widest point (43–95)
User: amitpkr
datascience-machinelearning,A Lesson and an interactive Tool for learning Artificial Neural Networks. (Implementation of Forward/Backprop algorithm using numpy)
User: azad-academy
Home Page: https://www.azaditech.com
datascience-machinelearning,70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,
User: azminewasi
datascience-machinelearning,All FreeCodeCamp Certification with Projects
User: azminewasi
datascience-machinelearning,🌟 This repository is related to the projects related to 🤖🧠💻 Artificial Intelligence, Machine Learning and Data Science given by PWSKILLS for the course "DATA SCIENCE MASTERS - IMPACT BATCH 1" 🚀
User: creativepuru
Home Page: https://github.com/creativepuru/PWSKILLS-Projects
datascience-machinelearning,a tool for comparing the predictions of any text classifiers
User: crisp-unimib
datascience-machinelearning,Все о машинном обучении и не только...
Organization: dataprosvet
Home Page: https://dataprosvet.ru/
datascience-machinelearning,This is the 68th Batch of Data Science
User: datascience75
datascience-machinelearning,Location information about commuter activities is vital for planning for travel disruptions and infrastructural development. The Mobility Sensing Project aims to find innovative and novel ways to identify travel patterns from GPS data and other multi-sensory data collected in smartphones. This will be transformative to provide personalised travel information.
User: denistanjingyu
datascience-machinelearning,This project helps to optimize production in each warehouse to achieve a balance between supply and demand. Dive into the world of supply chain management with data driven approach.
User: devika-k-m-15
datascience-machinelearning,Eloisa Elias - Data Scientist • Six Sigma • Open Source AI • Women Techmakers Ambassador
User: eloisaelias
Home Page: https://seattle.pydata.org/
datascience-machinelearning,This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.
User: francofgp
datascience-machinelearning,It consists of the steps followed in a data science project
User: gerrg
datascience-machinelearning,Study projects developed during data science courses
User: gir2017
datascience-machinelearning,Sentiment Classification on Amazon reviews
User: goyoju
datascience-machinelearning,CREDIT CARD SPEND PREDICTION
User: hardikkakar
datascience-machinelearning,Predicting the incidents raised by the customer
User: heroorkrishna
datascience-machinelearning,Building regression model
User: heroorkrishna
datascience-machinelearning,The dataset builder script extracts the most relevant market data straight from Binance's API and builds a series of datasets that can be used in data science and machine learning projects.
User: jesusgraterol
Home Page: https://www.kaggle.com/jesusgraterol/datasets
datascience-machinelearning,The dataset builder script extracts all the relevant block information from the Bitcoin Blockchain through Mempool.space's public API. The data is stored in a .csv file, facilitating its use in data science and machine learning projects.
User: jesusgraterol
Home Page: https://www.kaggle.com/datasets/jesusgraterol/bitcoin-blockchain-dataset
datascience-machinelearning,A customer segmentation project.
User: jesustorres98
datascience-machinelearning,Quant Sustainability Trading Algorithm
User: juliantanja
datascience-machinelearning,Data science, machine learning books and resources
Organization: lts-tech-community
datascience-machinelearning,Beginner Friendly Python for Data Science and Machine Learning Resources
User: lyraxvincent
datascience-machinelearning,This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).
User: manvimadandotai
datascience-machinelearning,Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
Organization: microsoft
Home Page: https://github.com/microsoft/A-TALE-OF-THREE-CITIES
datascience-machinelearning,Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.
User: mkosaka1
Home Page: https://github.com/mkosaka1/AirPassengers_TimeSeries
datascience-machinelearning,This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
User: mohd-faizy
datascience-machinelearning,Machine-Learning/Data-Science in one Notebook
User: mohd-faizy
datascience-machinelearning,mltrons dptron: Dirty Data in, Clean Data Out!
User: ms8909
datascience-machinelearning,Proyecto Final Coursera de Ciencia de Datos Aplicada - Curso Capstone
User: nclivio
datascience-machinelearning,Marketing prediction models using Starbucks app member data sets. Regression models to predict profitability of promotional campaign configurations using KNN, Linear Regression, Mini-batch Gradient Descent, and Neural Network.
User: poolen1
datascience-machinelearning,A Multi Document Summarizer Using Bidirectional Encoder Representations from Transformers (BERT)
User: prateekralhan
datascience-machinelearning,Data Career Handbook for all
User: ramakm
datascience-machinelearning,Here, are some projects which i did during my internships and some are the projects which i did only for hands on experience
User: ravikantydv
datascience-machinelearning,Using the power 💪🏻 of Python to play with data and creating a Data Science Project
User: rayanahmed2000
datascience-machinelearning,Data Science Practice Works Including Machine Learning, Python, Visualization, Tableau, Datasets etc.
User: rkprashanthreddy
datascience-machinelearning,This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
User: sanithps98
datascience-machinelearning,Ethereum Fraud Detection Models
User: sepandhaghighi
datascience-machinelearning,language model for basic jack and jill poem using RNN
User: sethhardik
datascience-machinelearning,Data Science Projects
User: shubhamsawant0601
datascience-machinelearning,A credit scoring web app based on an ML model trained on relevant data.
User: sofiamnc
Home Page: https://www.madimedia.pro
datascience-machinelearning,
User: srikanthvaijapur
datascience-machinelearning,🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩⚕️🌟 #AIHealthcare #LungCancerDetection
User: vidhi1290
datascience-machinelearning,A list of Incomplete Interview Questions (Python and Data Science only )
User: vidyabhandary
datascience-machinelearning,We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.
User: vtejaswin1
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.