# scikit-learn-python

There are 7 repositories under scikit-learn-python topic.

• ML-For-Beginners

## microsoft / ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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• ## dataprofessor / code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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• ## SuperKogito / Voice-based-gender-recognition

:sound: :boy: :girl:Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

Language:Python 110
• ## flo7up / relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

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• Machine-Learning-with-Scikit-Learn-Python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

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• ## SuperKogito / Voice-based-speaker-identification

:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM

Language:Python 38
• Machine_Learning

## Lawrence-Krukrubo / Machine_Learning

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

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• ## BaseMax / ImageRecognitionAI

Recognition of the images with artificial intelligence includes train and tests based on Python.

Language:Python 6
• ## niitsuma / delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

Language:Python 6
• ## dpscience / DMLLTDetectorPulseDiscriminator

DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications

Language:Python 2
• ## rifatSDAS / satellite_machine_learning

Unsupervised and supervised learning for satellite image classification

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• ## thamizhannal / INSOFE

Works done at International School of Engineering

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• ## UtsavMurarka / MXene-machine-learning

Classification of MXenes into metals and non-metals based on physical properties

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A jupyter notebook which trains a model with scikit-learn

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• ## Ajaykumarrachuri / TitanicSurvival_prediction

This is the basic introductory project of machine learning for predicting the survivals category based on the data set available,which is implemented using different inbuilt models available in scikit learn

Language:R 1
• ## AjayZinngg / simple-nltk-chatbot

A Q&A based chatbot which queries the database to find responses for similar questions asked by the users

Language:Python 1
• ## AMPA-ML-Team / PD-Classification

Codes for "Parkinson’s Disease Diagnosis: Effect of Autoencoders to Extract Features from Vocal Characteristics"

Language:Python 1

Scikit-learn (sklearn) projects in form of Jupyter Notebooks

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• ## AshishPandey88 / Nanda-Devi-Glacier-Loss

Feburary 7,2021 Ecological Disaster (Nanda Devi Glacier, IND: 7,108 m above sea level). Satellite image analysis using the methodology of image segmentation shows that the Glacier cover in Nanda Devi has substantially decreased over the last 4 decades. It has gone down from 43% in Year 1984 to 20% in Year 2022 (in relation to the captured area in image)

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• ## baluhiramanpatil / Python-for-Data-Science

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• ## dassujan / Breast_Cancer_Detection

🎗️ I have completed this Machine learning Project successfully with 98.24% accuracy which is great for this project. Now, I'm ready to deploy our ML model in the healthcare project. To get more accuracy, I trained all supervised classification algorithms. After training all algorithms, I found that Logistic Regression, Random Forest and XGBoost classifiers are given high accuracy than remain but we have chosen XGBoost.

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• machine_learning_with_sklearn

## dblabs-mcgill-mila / machine_learning_with_sklearn

Explore and understand the Machine Learning concepts through the prism of sklearn, one notebook at a time.

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• ## DNAMAY / ML-Diabetes

Early stage detection of Diabetes risk

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• ## ignatius-mbugua / doctor-drug-prescription-system

A web app that assists doctors in prescribing right medicine to patients in order to avoid drug side effects

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• ## lopez-christian / House-Prices-Linear-Regression-Project

This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

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• ## NitishaS-812k / Music-Genre-Classifier

This repository contains the code for some models that classify music files into their specific genres

Language:Python 1
• ## prajaktaag / poverty-prediction-and-analysis

poverty prediction and analysis

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• ## RafeyIqbalRahman / Data-Imputation-Techniques

This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.

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• ## RespectKnowledge / Machine-Learning-Tutorials

Machine Learning Tutorials

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• ## souvikmajumder26 / IEEE-ECG-Ensemble-XGBoost

👨‍💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.

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• ## yogi0421 / Hands-on-Tensorflow-and-Scikitlearn-2nd-Edition-eBook

Hands on Tensorflow and Scikitlearn 2nd Edition eBook

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• ## Abdullahw72 / Recognizing-Hand-written-digits-by-scikit-learn

Recognizing-Hand-written-digits-by-scikit-learn

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This code was submitted as part of the IST 707 (Applied Machine Learning) Homework assignment. In this homework assignment, you are going to use clustering methods to solve a mystery in history: who wrote the disputed essays, Hamilton or Madison?

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• ## dimitrismistriotis / alt-profanity-check

Alt profanity check is a drop-in replacement of the profanity-check library for the not so well maintained profanity-check: A fast, robust Python library to check for offensive language in strings.

Language:Python 0
• ## DorisKJ / life_expectancy

The data used in this work contains the life expectancy and probability of survival calculated for a given cohort from 1991 to 2001. This data is made available on the Canadian government website. Each dataset is described by income, education, ancestry, gender and residence type. Data: Life expectancy Survival probability

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• ## RafaBragagd / Python-Code-Testing

Repositório de códigos de teste do Python feito por Rafael da Silva Braga

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