Topic: scikitlearn Goto Github
Some thing interesting about scikitlearn
Some thing interesting about scikitlearn
scikitlearn,Machine learning algorithms for regression, classification, clustering, face-recognition
User: 08vivek08
scikitlearn,Recognizing-Hand-written-digits-by-scikit-learn
User: abdullahw72
scikitlearn,π€π»This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
User: abhishekgarg26
scikitlearn,This project helps to model the data of house rent as function of different parameters of the property. Various models have been used to demonstrate the accuracy of different algorithms. All the instructions regarding the project are included in the Google Colab File.
User: advaitkisar
scikitlearn,Emotion detection from social media texts using machine learning algorithms.
User: ahasannn
scikitlearn,Drilling Activity Prediction: Oil and Gas operations are dramatically affected by supply, demand and several other factors that compromise the operational planning of resources. To overcome this challenge, predictive analytics could be applied to forecast rotary rig count inside United States using time-series data.
User: antoniodagnino
scikitlearn,This repository is a collection of all the files, resources, notes, and code that I used to learn Machine Learning and Data Science. All the code and notes here have been gathered from various sources, and I have compiled them into this repository.
User: aryank1511
scikitlearn,BTAlert-AI is an application based on Machine Learning to monitor and predict application outages.
Organization: bureautech
Home Page: https://bureautech.github.io/APIs-Docs/
scikitlearn,A model server boilerplate for tensorflow & scikitlearn models
User: carlosbertoncelli
scikitlearn,OpenClassrooms Data Analyst 2022-2023 - Projet 6
User: celineboutinon
scikitlearn,A rough notes and examples for machine learning library (scikit-learn)
User: cheokjw
scikitlearn,A kyphosis is a spine curvature that is unusually convex. There are 81 rows and 4 columns in the kyphosis data frame. Data about children who have had corrective spinal surgery is represented. INPUTS: Age: in months Number: the number of vertebrae involved Start: the number of the first (topmost) vertebra operated on INPUTS: Age: in months Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of vertebrae involved Number: the number of verte
User: harshaldharpure
Home Page: https://github.com/harshalDharpure/kyphosis_Diseases_Classification
scikitlearn,This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content
User: hussain0048
Home Page: https://coursesteach.com/
scikitlearn,This repository contains basic to advanced codes related to data science and machine learning concepts using python. This is a learning endeavour using several online resources.
User: ineelhere
Home Page: https://ineelhere.github.io/Machine-Learning-and-Data-Science/
scikitlearn,πΈ Logistic Regression Classification on the Iris Dataset
User: kunmishra2599
scikitlearn,Classify digital ad data from different sources.
User: kuxall
scikitlearn,Sentiment Analysis using Natural Language Processing
User: mayurg6832
scikitlearn,
User: monly98
scikitlearn,This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.
User: nagipragalathan
Home Page: https://github.com/NagiPragalathan/Python_Tutorial_For_Data-Science/blob/main/README.md
scikitlearn,In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
User: nkimran94
scikitlearn,Machine learning, data science, python libraries
User: piyx
scikitlearn,This application is built using Streamlit to demonstrate Diabetes Prediction. It performs prediction on multiple parameters of a patient's health to predict whether they have diabetes or not.
User: priyanshu88
Home Page: https://diabetes-prediction-app-lstybtgufbmfyvzyir93tx.streamlit.app/
scikitlearn,Used ML Techniques to predict pupilometry based on a case study
User: rivera-davidkyle
scikitlearn,An openCV and Scikit-learn project to grade quizzes with OCR
User: rmccrear
Home Page: https://rmccrear.github.io/opencv-quizgrader/
scikitlearn,python for data science,machine learning
User: sarikamohan08
scikitlearn,This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
User: shriansh2002
scikitlearn,Supervised Machine Learning algorithms based simple projects [ beginner level ]
User: snehashukla937
scikitlearn,π· Crawl and Analyze Instagram Hashtag Data: KoNLPY to gensim word2Vec & scikit-learn TF-IDF
User: snoop2head
scikitlearn,Rendu projet machine learning - IIM annΓ©e 5
User: souchetjulie
scikitlearn,analyse and build predictive model for Game of Thrones (War of The Five Kings) battles dataset
User: stefkim
scikitlearn,This folder contains the basic algorithms of ML implemented with Python.
User: tanvirnwu
scikitlearn,Prediction of water well failure in Uganda.
Organization: vega5b
scikitlearn,10 weekly data science bootcamp projects covering data visualization, machine learning, neural networks, markov chains and more.
User: yara-creative
scikitlearn,Regression Analysis to predict car selling price with given datasets. Used libraries: Pandas, Matplotlib, Seaborn, Scikitlearn
User: zehan-alam
Home Page: https://car-price-prediction-zehan69.streamlit.app/
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