predective-modeling

There are 1 repository under predective-modeling topic.

• milaan9 / DataScience_Interview_Questions

  My Solutions to 120 commonly asked data science interview questions.

  data-sciencemachine-learningpredective-modelingprobabilitystatistical-inferencedata-analysisproduct-metricsinterview-questionsinterview-preparationtutor-milaan9python4datasciencepython-tutorial-githubpython-jupyter-notebooks
  Language:Jupyter Notebook 202

• 1FarZ1 / league-of-legends-win-predector

  A ML Model That Predict The Percentage of Winning for Each Blue And Red Team in League of Legends

  jupyter-notebookleague-of-legendsmachine-learningpredective-modelingpython3
  Language:Jupyter Notebook 24

• ajithvernekar / Term-deposit-prediction

  Predicting whether the customer will subscribe to Term Deposits through Machine Learning Algorithms by R.

  classificationdata-sciencedata-visualizationdecision-tree-classifierexploratory-data-analysisknn-classifiermachine-learningpredective-modelingrrprogramming
  Language:R 1
• FALA

  Devazc / FALA

  A project that uses ARIMA and LSTM models to predict future outcomes based on historical data.

  air-qualityalgorithmanalysisarduinoarima-modelforecasting-modelslstmmachine-learningpythontemperatureedaexploratory-data-analysispredective-modeling
  Language:Jupyter Notebook 1

• jabhij / PredictiveModelling_Cricket

  Using past Sport (Cricket) data to predict next win for Team India, in any format of the cricket.

  machine-learningmachine-learning-algorithmsnaive-bayes-algorithmnaive-bayes-classifierpandaspredective-modelingpython3sklearnsvcsvc-svmdata-sciencecricketcricket-data
  Language:Python 1

• Premrufus / BharatIntenRepo

  This repository contains the Tasks of Data science /Deep Learning/Machine Learning Projects offered by Bharat Intern

  googlecolabkeraslstmmachine-learningpredective-modelingpython
  Language:Jupyter Notebook 1

• sanketsanap5 / Cosmetics-Sales-Prediction

  Performed Predictive Analysis using supervised ML algorithm "Decision Tree" on the customer data to predict if a particular cosmetic item will be sold or not based upon the factors respectively

  predective-modelingmachine-learningdecision-treeclassification-algorithm
  Language:Python 1

• ShaikRiyazSandy / Multi-Linear-Regression

  Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_

  cooks-distancedata-sciencedata-structuresdata-visualizationexploratory-data-analysisfeature-engineeringfeature-selectioninfluencersmulti-collinearity-issueoutlier-detectionoutlier-removalpredective-modeling
  Language:Jupyter Notebook 1

• Thesineo / sincos-Python

  Predecitve model for Stock Return forecast (future prediction) for FTS100 Tech-Mark Series (top technical firms) in UK listed on London Stock Exchange

  arima-forecastingforecasting-algorithmgarch-modelingmachine-learning-algorithmspredective-modelingstock-price-prediction
  1

• Thesineo / sincos-R-Programming

  Predecitve model for Stock Return forecast (future prediction) for top technical firms in UK listed on London Stock Exchange

  forecasting-modelsmachine-learning-algorithmspredective-modeling
  1

• Thesineo / siner

  Artifical Intelligence Model using Machine learning Algorithm to predict the ICO ( Cryptocurrencies ) offerings for Fundraising teams and Startups

  artifical-intelligencemachine-learning-algorithmspredective-modeling
  1

• mascarenhasneil / Boston-Property-Assessment

  This is Final Capstone Project for ALY6040 Data Mining Fall 2021 CPS. Primarily to learn Data Analytics, Data Mining and Python. Residential and commercial properties were assessed in Boston. The Boston Globe reported in May 2021 that the competitive Boston housing market drives up costs. As the pandemic continues, people demand larger homes. Finding a home became more difficult as most property managers and realtors could not display their properties to several people. This post was written to help individuals, realtors, and real estate brokers find a property at a reasonable price. We selected to use a few basic machine learning concepts to help us determine the best selling price for the house based on the amount of rooms, location, design, and other characteristics about the bath and kitchen. We only focused on residential property because it was in demand. This study's goal was to improve on initial EDA work by constructing predictive models that solved our business concerns. Finally, optimizing the model's performance.

  boston-govdataminingdatamining-algorithmsdatascience-machinelearningjupyter-notebookmachine-learning-algorithmspredective-modelingresidential
  Language:Jupyter Notebook 0

• 01Vishwa / IBM-HR-Attrition-Analysis

  hr attrition using supervised learning

  classificationdecision-treeslogislogistic-regressionmachine-learningmachine-learning-algorithmspredective-modelingpythonrandom-forestsupervised-learningsvm-classifier
  Language:Jupyter Notebook

• Paras-Singh7 / Black-Friday

  Solving Black Friday problem with ml in R

  rmachine-learningedaanalysispredective-modeling
  Language:Jupyter Notebook

• RISHABH-S1997 / RISHABH-S1997-Classification-Model-to-Identify-Multiple-Disease

  Classification-Model-to-Identify-Multiple-Disease

  data-sciencepredective-modelingpython3
  Language:Jupyter Notebook

• xre22zax / Linear-regression-website-sample

  Linear regression and prediction for website

  linear-modelslinear-regressionpredective-modelingpredictive-analysispredictive-analyticsregression-analysisregression-model
  Language:Jupyter Notebook