sklean

There are 0 repository under sklean topic.

• yunshuipiao / SWBlog

  machine learning practitioner， android and python

  pythonai-firstskleanmachine-learning-algorithmstensorflow
  35

• iici-psiddineni / ML_Telecom_Churn

  Machine Learning Telecom Churn Model

  machine-learningmachine-learning-algorithmsdecision-treesrandom-forestlinear-regressionlassopcapython3skleansmoterfe
  Language:Jupyter Notebook 4

• KatyaZeross / TrekPredict

  An NLP analysis on the impact of Star Trek: The Next Generation's character spoken lines and how it affects the rating of the episode.

  datasetmachine-learningmatplotlibnlpnumpypandaspythonscikit-learnseabornshapsklean
  Language:Jupyter Notebook 3

• ashishkirtwed / Airfoil-self-noise-analysis-using-multivariate-Linear-Regression-in-python-

  This repository is about using multivariate linear regression in airfoil self noise using python. It will help you to use different types of commands of different types of libraries in python.

  skleanpandasnumpypythonlinearreg
  Language:Python 2

• LALA09-erha / Streamlit-bukitdarmoproperty-UAS

  website forcasting bukit darmo property

  knnmodelpythonskleanstreamlit
  Language:Jupyter Notebook 2

• parasmehan123 / RedFlair

  Reddit Post Flair Detector for r/india Subreddit

  nlpmachine-learningskleannltkgoogle-bigquery
  Language:Jupyter Notebook 2

• LALA09-erha / kolaborasipro

  Website Prediksi Pembuatan beer Menggunakan Beberapa Model

  pythonskleanstreamlit
  Language:Jupyter Notebook 1

• vrclaros / machine-learning-challenge

  utilize the sklearn library to train models on a set of data and use to make predictions

  skleanmachine-learning
  Language:Jupyter Notebook 1

• AKosmachyov / ML_and_data_mining

  pythonskleanperceptronmnist
  Language:Python 0

• annsam0115 / Credit-Risk-Classification-Analysis

  Using ML methods, develop a data analytics-based strategy to help classify if prospective borrowers would be a risk to a bank. With the use of predictive modeling, a bank could determine whether an applicant is approved or rejected for a loan by analyzing their credit risk. (Final Group Project for CIND119)

  decision-tree-classifiermachine-learningnaive-bayes-classifierpython-3sklean
  Language:Jupyter Notebook 0

• e-panourgia / International_Sports_Events_Window_Dressing_and_Repression

  International Sports Events and Repression in Autocracies. Statistical Analysis with Python

  analysisskleanstatsmodels
  Language:Jupyter Notebook 0

• Francisco-hub-eng / finding_donors

  Supervised learning model that predicts whether an individual makes more than $50000 per year (accuracy score of 0.87) .

  pythonsklean
  Language:HTML 0

• leonichel / California_Housing_Prices_API

  Simple API, built with FAST API, with advanced linear regression of California home prices.

  pythonmachine-learningregression-modelsfastapipredictionssklean
  Language:Python 0

• malleswarigelli / Chest_Disease_Image_Classification_

  Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins

  ci-cdcnn-image-classificationcustom-exceptionsdeep-learningdockerdvc-pipelinegdowngdrivegithub-workflowsjenkinskeras-tensorflowloggingmlflow-trackingpandasskleanvgg16-modelmlflow-modelaws-ec2aws-ecr
  Language:Jupyter Notebook 0

• najeh-halawani / Lung-Cancer-Decision-Tree

  A lung cancer decision tree is a type of machine learning model that can predict the likelihood of a patient having lung cancer based on various features such as smoking habits, age, and symptoms such as yellow fingers, anxiety, fatigue, etc.

  decision-treemachine-learningskleansupervised-learning
  Language:Jupyter Notebook 0

• nsouff / nba_predictions

  This repository tries to predict some NBA awards with machine learning

  linear-regressionmachine-learningmlnbasklean
  Language:Python 0

• ustcdj / Identify_Customer_Segmentation

  The goal of this project is to help a mail-order sales company in Germany to identify segments of the population that form the core customer base. These segments can then be used to direct marketing campaigns towards audiences that should bring high expected returns.

  unsupervised-learningcluster-analysisprincipal-component-analysisskleandata-cleaningdata-visualization
  Language:Jupyter Notebook 0

• viridescentavian / UCLA-CSSI

  UCLA Computer Science Summer Institute; CS97 - Introduction to Data Science

  data-sciencelinear-regressionnumpypandasmatplotlibskleanstatsmodelspolynomial-regressiongradient-descent
  Language:Jupyter Notebook 0

• Chang-Chia-Chi / Clustering-Kmeans-DBSCAN

  Clustering Amazon review data around 6M users using Kmeans and Dbscan algorithm.

  clusteringdbscaneuclidean-distanceshand-craftjaccard-distancekmeanspythonsklean
  Language:Python

• dynamicanupam / Bike-Sharing-Demand-Case-Study

  Predict bike sharing demand using multiple linear regression model.

  exploratory-data-analysislinear-regressionmatplotlibmultiple-linear-regressionpandaspythonseabornskleanstatsmodels
  Language:Jupyter Notebook

• erayon / PFZ-Prediction-Using-Machine-Learning

  Description

  skleanpandasnumpy
  Language:Jupyter Notebook

• jingjiang8 / Machine-learning-python

  sklean

• Karla-Flores / Cryptocurrency-Clusters--Unsupervised-Machine-Learning

  This report is generated of what cryptocurrencies are available on the trading market and how they can be grouped using classification.

  machine-learningclusteringnumpyrequestsmatplotlibsklean
  Language:Jupyter Notebook

• msgul / machine-learning-advertising

  Testing different machine learning methods on advertising dataset. With a simple RESTAPI using flask

  machine-learningskleanrest-apiflask
  Language:Python

• thrylos2307 / Performance-Measure

  decision-treeknn-classificationregressionsklean
  Language:Jupyter Notebook

• ziggy-data / analise_prouni

  Iniciando estudos sobre o dataset de distribuição de bolsas do ProUni

  seabornpandasstatisticssklean
  Language:Jupyter Notebook