adaboostclassifier

There are 0 repository under adaboostclassifier topic.

rochitasundar / Customer-profiling-using-ML-EasyVisa
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
decision-tree-classifier bagging-ensemble random-forest-classifier gradient-boosting-classifier adaboostclassifier xgboost-classifier stacking-ensemble grid-search-hyperparameters grid-search-cross-validation accuracy-metrics precision-recall f1-score
Language:Jupyter Notebook 7
Athiban-32 / twitter-sentiment-analysis
Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter
machine-learning nlp textblob twitter twitter-sentiment-analysis adaboostclassifier naive-bayes-classifier natural-language-processing passiveaggressiveclassifier perceptron text-classification text-mining vader vader-sentiment-analysis
Language:Jupyter Notebook 6
a3X3k / Spam-Email-Detection
machine-learning python spam-classification machinelearning knn-classifier logistic-regression svm-classifier decision-tree-classifier random-forest-classifier naive-bayes-classifier gradient-boosting extratreesclassifier xgboost-algorithm bagging-ensemble adaboostclassifier knn-classification knn-model svm-kernel svm-model randomforestclassifier
5
brian-kipkoech-tanui / binaryclassification
Classification
adaboostclassifier classification-algorithm ensemble-model gradient-boosting-classifier random-forest svm voting-classifier xgboost-classifier
Language:Jupyter Notebook 3
luuisotorres / Credit-Card-Fraud-Detection
For this project, I used four different classification algorithms to detect fraudulent credit card transactions.
ada-boost-classifier adaboost-algorithm adaboostclassifier classification-algorithm classification-model credit-card-fraud-detection data-science data-visualization decision-tree-classifier feature-engineering gradient-boosting-classifier gradientboostinclassifier machine-learning machine-learning-algorithms pandas python random-forest-classifier scikit-learn sklearn
Language:Jupyter Notebook 3
paocarvajal1912 / VIXM-Algorithmic-Strategy
An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.
python algoritmic-trading jupyter-notebooks jupyterlab modular-design adaboost-algorithm adaboostclassifier adaboost machine-learning supervised-machine-learning volatility-investing vix
Language:Jupyter Notebook 3
Abis47 / Chronic_Kidney_Disease_Prediction
I made a model which can detect if a person has Chronic Kidney Disease by inputting some data. I also made a WebApp using Heroku
adaboostclassifier chronic-kidney-disease decision-tree-classifier heroku heroku-deployment logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn svm-classifier
Language:Jupyter Notebook 2
AliMufeed / Bank_Loan_term_prediction
Classification Project for SDAIA T5 Data Science Bootcamp. This project will choose the best classification model to predict whether a loan is a short-term loan or a long-term loan, based on some features.
adaboostclassifier classification data-analysis data-science decision-tree-classifier knn-classification logistic-regression machine-learning naive-bayes-classifier pickle random-forest-classifier stochastic-gradient-descent voting-classifier xgboost
Language:Jupyter Notebook 2
KarthikMurugadoss1804 / Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
linearsvc kneighborsclassifier decisiontreeclassifier logisticregression gaussian-naive-bayes-implementation randomforestclassifier adaboostclassifier python3 machine-learning-algorithms pandas scaling-methods outlier-detection imbalanced-data exploratory-data-analysis research
Language:Jupyter Notebook 2
People_Analytics
rajeski / People_Analytics
Human Resources Employee Turnover Analysis
jupyter-notebook matplotlib numpy pandas python seaborn stats sklearn adaboostclassifier decision-tree-classifier logistic-regression random-forest-classifier
Language:Jupyter Notebook 2
Sayansurya / Project-on-Class-Imbalance-Problem
machine-learning undersampling class-imbalance cnn ensemble adaboostclassifier hacktoberfest-accepted
Language:Python 2
SolomonAmaning / Telecom-Churn-Prediction
This project was conducted to predict recharge delay using regression techniques and customer churn using classification models
adaboostclassifier correlation lasso-regression logistic-regression neural-network random-forest-classifier
Language:Jupyter Notebook 2
vinamrata-git / Chess-winner-prediction
Predict the winning probability of white player in a chess game on the basis of first move of white player and first move of black player. In the dataset all the set of moves are given but I choose to predict the white winner the first move
white-player auc-score scikit-learn knn-classifier catboost-model decision-tree-classifier random-forest-classifier svm-classifier logistic-regression xgboost-classifier adaboostclassifier
Language:Jupyter Notebook 2
Sentiment-Analysis-Exchange-Rates
ahmetbeylihan / Sentiment-Analysis-Exchange-Rates
Estimating the growth or depreciation on exchange rates by using sentiment analysis method from social media comments
adaboostclassifier bernoulli-naive-bayes complement-navie-bayes decision-tree-classifier gated-recurrent-units kneighborsclassifier logistic-regression logistic-regression-classifier long-short-term-memory machine-learning machine-learning-algorithms mlp-classifier multinomial-naive-bayes naive-bayes-classifier random-forest-classifier recurrent-neural-network simplernn snscrape time-series twitter-sentiment-analysis
Language:Jupyter Notebook 1
AlaaMahmoud95 / Heart-Failure-Prediction
Classification Machine Learning project
adaboostclassifier classification knn knn-classification knn-classifier logistic-regression machine-learning notebook python random-forest-classifier randomforestclassifier sklearn svc svc-svm xgboost xgboost-classifier
Language:Jupyter Notebook 1
anaungurean / Spam-Email-Classification
Machine Learning - Practical assignment
adaboostclassifier id3-algorithm knn-classifier machine-learning machine-learning-algorithms naive-bayes-classifier python
Language:Python 1
bh-Abhishek-b / Web-Server-Log-Analysis
Web Server Log Analysis
adaboostclassifier catboost-classifier gradientboostinclassifier kafka-consumer kafka-producer pandas pycaret pymongo pyspark python random-forest-classifier xgboost-classifier
Language:Jupyter Notebook 1
Bharati2301 / Comparative-study-of-various-Classification-Algorithms-in-Machine-Learning
machine-learning classification-algorithm naive-bayes-classifier knn-classifier logistic-regression svm-classifier decision-tree-classifier random-forest adaboostclassifier gradient-boosting xgboost voting-classifier python
Language:Jupyter Notebook 1
brunocampos01 / finding-donors
Data Science project using Census Income dataset. (Kaggle Competition)
adaboost kaggle decision-trees svm finding-donors uci-machine-learning python machine-learning decision-tree support-vector-machine adaboostclassifier data-science kaggle-competition ine5644 dataset
Language:Python 1
davidt1016 / Python_DataMining
Employing Various Data Mining Technique.
python3 sklearn-library adaboostclassifier randomforestclassifier wordcloud regression datamining data-analysis data-science data-visualization clustering stock-analysis
Language:Python 1
dinesh-m / machine_learning_bot
Machine Learning Bot is a Jupyter Notebook based application prototype to perform algorithmic trading using a Machine Learning algorithm.
adaboostclassifier algorithmic-trading backtesting-trading-strategies svm-classifier
Language:Jupyter Notebook 1
Elliott-dev / Indicators-of-Heart-Disease-Analysis
This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the development of heart disease.
ab-testing adaboostclassifier classification confusion-matrix extratreesclassifier healthcare-analysis ols-regression-model random-forest
Language:Jupyter Notebook 1
fezzibasma / Machine-Learning-Topics
Here you can explore different projects around Machine Learning Algorithms, Enjoy ☺️
adaboostclassifier boostrap dataengineering dbscan-clustering decision-trees eda ensemble-model kmeans-clustering linear-models logistic-regression machine-learning randomforestclassifier sgdclassifier svm-classifier python scikit-learn regularization ridge-regression xgboost-classifier
Language:Jupyter Notebook 1
Harmanveer2546 / Diabities-Prediction
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboostclassifier decision-trees gradientboostinclassifier gridsearchcv knn-classification machine-learning matplotlib metrics numpy os pandas random-forest seaborn svc
Language:Jupyter Notebook 1
injamul3798 / Bangla-Newspaper-Categorization-using-ML-models
In my Bangla news categorization project, I utilized XGBoost for efficient pattern recognition, SVM for handling non-linear relationships, and an ensemble of Random Forest, AdaBoost, and Logistic Regression to collectively enhance precision. This diverse approach ensures robust and accurate classification of Bangla news articles.
adaboostclassifier logistic-regression ml nlp sentiment-analysis svm text-classification xgboost-classifier
Language:Jupyter Notebook 1
jialincheoh / finding-donors
Finding Donors with Machine Learning ( Support Vector Machine, Gradient Boosting Classifier, Random Forest Classifier )
support-vector-machines gradient-boosting-classifier random-forest-classifier adaboostclassifier ensemble-learning machine-learning
Language:HTML 1
jose-perth / Credit_Risk_Analysis
Employ different techniques to train and evaluate models with unbalanced classes. Evaluate the performance of these models and make recommendations on their suitability to predict credit risk.
machine-learning smote smoteenn adaboostclassifier random-forest-classifier
Language:Jupyter Notebook 1
MaoIlich / Project-3-Ensemble-Techniques---Term-Deposit-Sale
Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio
ensemble-models logistic-regression supervised-learning decision-tree-classifier bagging-trees adaboostclassifier gradient-boosting-classifier random-forest-classifier xgboost-classifier lightbgm randomizedsearchcv graphviz
Language:Jupyter Notebook 1
maryamsoftdev / All-About-Ensemble-Learning-
learning python day 14
adaboostclassifier bagging-ensemble boosting-ensemble gradientboostingclassifier random-forest-classifier stacking-ensemble
Language:Jupyter Notebook 1
maryamsoftdev / Sentiment-Analysis-Using-Natural-Language-Processing-NLTK-
learning python day 15
adaboostclassifier ensemble-learning fine-tuning gradientboostinclassifier nlp-machine-learning nltk-library sentiment-analysis tweet-analysis
Language:Python 1
mosama1994 / Diabetes-Detection-using-Machine-Learning
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
correlation knn-classification linear-discriminant-analysis-lda logistic-regression adaboostclassifier decision-tree-classifier naive-bayes-classification quadratic-discriminant-analysis random-forest-classifier svm-classifier
Language:Python 1
msumalague / ThyroCare-Supervised-Machine-Learning-Model
Supervised Machine Learning Model for Thyroid Disease Classification
adaboostclassifier classification-algorithm data-preprocessing ensemble-machine-learning gradient-boosting-classifier histgram-gradient-boosting random-forest-classifier xgboost
Language:Jupyter Notebook 1
saranggalada / ML_OnlineNewsPopularity
Predicting the Popularity of Online News using numerous Machine Learning techniques along with a comparative analysis of their performances.
adaboostclassifier classification decision-trees dimensionality-reduction elasticnet ensemble-learning exploratory-data-analysis gradientboostinclassifier machine-learning pandas principal-component-analysis python random-forest-classifier scikit-learn support-vector-machines
Language:Jupyter Notebook 1
ShubhamShindee / ML-Classification-Algorithms-
This Repository contains the implementation of various Classification Algorithms on different different datasets.
logistic-regression decision-tree-classifier gradient-boosting-classifier baggingalgorithms knn-classifier adaboostclassifier xgboost-classifier svm-classifier random-forest-classifier voting-classifier stacking voting-regressor stackingregressor
Language:Jupyter Notebook 1
singhvks / Predict-the-category
ADABOOST - MULTICLASS CLASSIFICATION - MACHINE LEARNING - PYTHON : Predict category of problem solved as part of Piramal Hackathon
adaboostclassifier machine-learning python ensemble-classifier
Language:Python 1
vaitybharati / Bagging-boosting-stacking
Bagging-boosting-stacking
python bagging boosting stacking bagged-trees random-forest-classifier adaboostclassifier ensemble-classifier
Language:Jupyter Notebook 1

adaboostclassifier

rochitasundar / Customer-profiling-using-ML-EasyVisa

Athiban-32 / twitter-sentiment-analysis

a3X3k / Spam-Email-Detection

brian-kipkoech-tanui / binaryclassification

luuisotorres / Credit-Card-Fraud-Detection

paocarvajal1912 / VIXM-Algorithmic-Strategy

Abis47 / Chronic_Kidney_Disease_Prediction

AliMufeed / Bank_Loan_term_prediction

KarthikMurugadoss1804 / Prediction-of-customer-churn

rajeski / People_Analytics

Sayansurya / Project-on-Class-Imbalance-Problem

SolomonAmaning / Telecom-Churn-Prediction

vinamrata-git / Chess-winner-prediction

ahmetbeylihan / Sentiment-Analysis-Exchange-Rates

AlaaMahmoud95 / Heart-Failure-Prediction

anaungurean / Spam-Email-Classification

bh-Abhishek-b / Web-Server-Log-Analysis

Bharati2301 / Comparative-study-of-various-Classification-Algorithms-in-Machine-Learning

brunocampos01 / finding-donors

davidt1016 / Python_DataMining

dinesh-m / machine_learning_bot

Elliott-dev / Indicators-of-Heart-Disease-Analysis

fezzibasma / Machine-Learning-Topics

Harmanveer2546 / Diabities-Prediction

injamul3798 / Bangla-Newspaper-Categorization-using-ML-models

jialincheoh / finding-donors

jose-perth / Credit_Risk_Analysis

MaoIlich / Project-3-Ensemble-Techniques---Term-Deposit-Sale

maryamsoftdev / All-About-Ensemble-Learning-

maryamsoftdev / Sentiment-Analysis-Using-Natural-Language-Processing-NLTK-

mosama1994 / Diabetes-Detection-using-Machine-Learning

msumalague / ThyroCare-Supervised-Machine-Learning-Model

saranggalada / ML_OnlineNewsPopularity

ShubhamShindee / ML-Classification-Algorithms-

singhvks / Predict-the-category

vaitybharati / Bagging-boosting-stacking