logistic-regression-algorithm

There are 3 repositories under logistic-regression-algorithm topic.

coding-ai / machine_learning_cpp
Machine Learning C++
machine-learning tutorials machine-learning-algorithms machinelearning machinelearning-cpp logistic-regression logistic-regression-algorithm linear-regression linearregression linear-models linearregression-gradientdescent algorithms cpp
Language:Jupyter Notebook 62
kennethleungty / Logistic-Regression-Assumptions
Assumptions of Logistic Regression, Clearly Explained
logistic-regression logistic-regression-algorithm logistic-regression-assumptions logistic-regression-classifier logistic-regression-implementation logistic-regression-models python statistics
Language:Jupyter Notebook 26
Coldwave96 / MaliciousURLs
人工智能检测恶意URL
deep-learning logistic-regression-algorithm machine-learning malicious-url-detection
Language:Python 18
Ruban2205 / Iris_Classification
This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.
iris-classification iris-dataset k-nearest-neighbor-classifier logistic-regression logistic-regression-algorithm machine-learning navie-bayes-algorithm support-vector-classifier
Language:Jupyter Notebook 17
Aakash1822 / Fruit_prediction
Fruit Count prediction using its shape and size using Machine Learning
fruit-prediction algorithm fruits prediction numpy machine-learning pandas pandas-dataframes scikitlearn-machine-learning logistic-regression-algorithm knn-algorithm decision-tree gaussian naive-bayes-classifier scatter-matrix
Language:Jupyter Notebook 7
Ankit152 / IMDB-sentiment-analysis
Sentiment analysis of IMDB dataset.
sentiment-analysis imdb-dataset classification imdb tf-idf logistic-regression logistic-regression-algorithm tfidf-vectorizer text-classification text lstm keras tf2 tensorflow2
Language:Jupyter Notebook 7
saichandrareddy1 / Machine_Learning_basics
This is repository about the MachineLaering Basics including all the Machine learning Algorithms
machine-learning-algorithms bas random-forest regression-algorithms classification-algorithm svm random decision-tree-regression knn-algorithm sklearn sklearn-with-svm guassian logistic-regression-algorithm
Language:Jupyter Notebook 6
suubh / Machine-Learning
It includes my work on Machine learning during Coursera Assignment. It includes Linear regression and Logistic regression working model .It also include Neural Network implementation and Backpropagation Algorithm .It also include SVM implementation and also a Spam Classifier using SVM.
cnn-model coursera-assignment linear-regression logistic-regression-algorithm machine-learning svm
Language:MATLAB 6
Saket-Kr / ML-Prep
A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.
reinforcement-learning-algorithms supervised-machine-learning unsupervised-machine-learning linear-regression logistic-regression-algorithm logistic-regression linear regression gradient-descent bias-variance-trade variance mini-batch bias recall recall-precision learning-algorithms
Language:Jupyter Notebook 5
felipexw / guessb
Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.
bernoulli-naive-bayes bootstrap decision-tree-classifier django-rest-framework gaussian-naive-bayes-implementation gradient-boosting id3-algorithm knearest-neighbor-classifier knn knn-classification logistic-regression logistic-regression-algorithm multinomial-naive-bayes nltk nltk-data nltk-library nltk-python random-forest
Language:Python 4
meuwebsite / Facebook--PredictCustumer-Click
Running a targetted marketing ads on facebook. The company wants to anaylze customer behaviour by predicting which customer clicks on the advertisement
googlecolab logistic-regression-algorithm matplotlib-pyplot numpy pandas python sklearn
Language:Jupyter Notebook 4
NehaPant14 / Loan-Prediction
Loan Prediction using Classification Techniques
classification decision decision-tree-classifier decision-trees knn knn-algorithm knn-classification knn-classifier logistic logistic-regression logistic-regression-algorithm logistic-regression-classifier naive-bayes-algorithm naive-bayes-classifier
Language:Jupyter Notebook 4
Jspano95 / Retail-Customer-Classification-Modelling
Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department
classification-models xgboost-classification logistic-regression-algorithm decision-tree-classifier random-forest-classifier knearest-neighbor-classification support-vector-classifier voting-classifier customer-segmentation feature-engineering consumer-insights
Language:Jupyter Notebook 3
Sarthak-Mohapatra / Classification-of-tumors-in-Human-Breast-as-Bening-or-Malignant-using-ML-Algorithms.
As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.
feature-selection backward-elimination logistic-regression-algorithm svm random-forest neural-networks svm-kernel jupyter-notebook python rstudio cancer-prediction normalization exploratory-data-analysis
Language:Jupyter Notebook 3
sauriii98 / Deep-Learning-algorithms
Implementation of all basic algorithms needed in Deep Learning
deep-learning neural-networks cat-notcat-classification logistic-regression-using-nn cnn cnn-classification cnn-model basic-algorithm deep-neural-networks deep-learning-algorithms binary-classification logistic-regression-algorithm gradient-check initialization regularization-methods optimization-methods optimization-algorithms residual-networks
Language:Jupyter Notebook 3
zhuqiqi19941122 / binary-classification-algorithm
Bank Precision Marketing Solutions-- using Logistic Regression and Tree Algorithms
logistic-regression-algorithm decision-trees random-forest binary-classification svm-classifier
Language:Python 3
Abhijit2505 / Cat-Photo-Classification
This repository contains two models having Two - layers ANN and L - layers ANN respectively to classify Cat photo and Non-Cat photo. This ANN works on the mathematical principles of Logistic Regression and Cross Entropy.
python3 jupyter-notebook artificial-neural-networks machine-learning logistic-regression-algorithm classification-algorithm cross-entropy-loss
Language:Jupyter Notebook 2
Data-Science
Abhijit2505 / Data-Science
This repository containts the projects that I have done along With my Data Science MOOCs from Coursera.
practice-codes data-science regression-algorithms kaggle-dataset logistic-regression-algorithm
Language:Jupyter Notebook 2
Ansu-John / Regression-Models
Build and evaluate various machine learning regression models using Python.
regression-models linear-regression logistic-regression-algorithm decision-trees polynomial-regression random-forest support-vector-regression logistic-regression machine-learning machine-learning-algorithms python3
Language:Jupyter Notebook 2
boosuro / predicting_numbers_in_image_with_logistic_regression
predicting numbers in image with logistic regression
logistic-regression-algorithm confusion-matrix sklearn-library jupyter-notebook
Language:Jupyter Notebook 2
dileepkorade / Machine-Learning_Projects
Projects based on Machine Leaning
machine-learning-algorithms knn-algorithm svm-algorithm logistic-regression-algorithm decision-tree-algorithm random-forest-algorithm xgboost-algorithm
Language:Jupyter Notebook 2
ligerfotis / CSE6363_Machine_Learning
Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21
gaussian-naive-bayes-classification knn-classification poisson-regression perceptron-learning-algorithm neural-network-from-scratch support-vector-machines clustering dendrogram logistic-regression-algorithm linear-regression-scratch logistic-regression-scratch ensemble-learning boosting-ensemble bagging-ensemble decision-trees
Language:Python 2
Saadia-Hassan / ML-Classifiers
A simple classification problem where SVM, Logistic Regression, KNN and Decision Trees algorithms are used and the F1-score with Jaccard similarity scores are found out.
svm-classifier logistic-regression-algorithm knn-classifier decision-tree-algorithm machine-learning-algorithms beginners-guide beginner-friendly
Language:Jupyter Notebook 2
Sahil-Chavan / MicrosoftMalwareDetection
==>>Problem Statement : In the past few years, the malware industry has grown very rapidly that, the syndicates invest heavily in technologies to evade traditional protection, forcing the anti-malware groups/communities to build more robust softwares to detect and terminate these attacks. The major part of protecting a computer system from a malware attack is to identify whether a given piece of file/software is a malware. ==>>Source/Useful Link : Microsoft has been very active in building anti-malware products over the years and it runs it’s anti-malware utilities over <b>150 million computers</b> around the world. This generates tens of millions of daily data points to be analyzed as potential malware. In order to be effective in analyzing and classifying such large amounts of data, we need to be able to group them into groups and identify their respective families. -> Source: https://www.kaggle.com/c/malware-classification
machine-learning machine-learning-algorithms tsne knn-classification knn logistic-regression logistic-regression-algorithm random-forest gbdt-model malware-detection microsoft
Language:Jupyter Notebook 2
Sarthak-Mohapatra / Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type.
As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.
gradient-descent matrix gpu convergence threshold prediction classification exploratory-data-analysis rstudio experimentations error-curves train-test-error machine-learning-algorithms logistic-regression-algorithm linear-regression algorithm-from-scratch classification-algorithm classification-model regression-models regression-algorithms
Language:R 2
thenomaniqbal / LogisticRegression-BreastCancerDS
logistic regression from scratch using python to solve binary classification problem using breast cancer dataset from scikit-learn. A complete breakdown of logistic regression algorithm.
logistic-regression breast-cancer breast-cancer-classification logistic logistic-regression-algorithm machine-learning-algorithms machine-learning data-science
Language:Python 2
tofti / python-logisticregression
python-logisticregression
logistic-regression logistic-regression-algorithm machine-learning machine-learning-algorithms python3
Language:Python 2
vaitybharati / Assignment-06-Logistic-Regression
Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services") 3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed) 4 - education (categorical: "unknown","secondary","primary","tertiary") 5 - default: has credit in default? (binary: "yes","no") 6 - balance: average yearly balance, in euros (numeric) 7 - housing: has housing loan? (binary: "yes","no") 8 - loan: has personal loan? (binary: "yes","no") # related with the last contact of the current campaign: 9 - contact: contact communication type (categorical: "unknown","telephone","cellular") 10 - day: last contact day of the month (numeric) 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec") 12 - duration: last contact duration, in seconds (numeric) # other attributes: 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact) 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) 15 - previous: number of contacts performed before this campaign and for this client (numeric) 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success") Output variable (desired target): 17 - y - has the client subscribed a term deposit? (binary: "yes","no") 8. Missing Attribute Values: None
python logistic-regression pandas numpy matplotlib-pyplot seaborn linear-model confusion-matrix roc-curve roc-auc-score eda one-hot-encoding concatenation classifier logit-model logistic-regression-algorithm
Language:Jupyter Notebook 2
vipulvs91 / LitModel
Fire Incident risk classification Data Mining project
data-mining r-programming r-programming-projects classification-algorithm classification-model logistic-regression-algorithm regression-analysis data-visualisation data-wrangling machine-learning
Language:R 2
easonlai / diabetes_prediction_lr_xgb
This is a sample code repository to leverage classic "Pima Indians Diabetes" from UCI to perform diabetes classification by Logistic Regression & Gradient Boosting algorithms.
classification classification-algorithm classification-model diabetes diabetes-prediction gradient-boosting gradient-boosting-algorithm logistic-regression logistic-regression-algorithm python python3 sklearn xgboost
Language:Jupyter Notebook 1
jamestiotio / ml
SUTD 2021 50.007 Machine Learning Code Dump
machine-learning artificial-intelligence mathematics logic perceptron svm gradient-descent logistic-regression neural-network hmm bayesian-network markov-decision-process reinforcement-learning classification-algorithm k-means k-medoids logistic-regression-algorithm deep-learning natural-language-processing
Language:Jupyter Notebook 1
khadkarajesh / wine-prediction
White and Red Wine classification using logistic regression
machine-learning classification logistic-regression airflow airflow-dags scikit-learn machine-learning-pipeline pandas numpy mlflow postgresql data-science dataingestion pipeline python flask evidently logistic-regression-algorithm classification-algorithm supervised-learning
Language:HTML 1
prabhatk579 / logistic-regression-from-scratch
Applying logistic regression using an user defined function on iris dataset
logistic-regression logistic-regression-algorithm confusion-matrix
Language:Jupyter Notebook 1
Pushpendra9350 / Sentiment-prediction-on-reviews
This is a single webpage application in which we need to enter a review and this will tell you whether the review is positive or not. To make this work NLP techniques and Logistic regression algorithm is used with 94% accuracy
logistic-regression-algorithm classification nlp python flask api
Language:Jupyter Notebook 1
SaadTariq01DataAnalyst / Prediction-of-Bank-Churn-Customer
The goal of this project is to develop a machine learning model that can help banks to identify customers who are likely to churn and take appropriate measures to retain them
accuracy-metrics decision-trees-algorithm f1-score logistic-regression-algorithm machine-learning precision-recall predictive-modeling random-forests-classifier support-vector-machines
Language:Jupyter Notebook 1
vaitybharati / P28.-Supervised-ML---Logistic-Regression---Appointing-Attorney-or-not
Supervised-ML---Logistic-Regression---Appointing-Attorney-or-not. EDA, Model Building, Model Predictions, Testing Model Accuracy, ROC Curve plotting and finding AUC value.
python pandas numpy matplotlib-pyplot sklearn logistic-regression confusion-matrix roc-curve auc-score eda classifier-model logistic-regression-algorithm
Language:Jupyter Notebook 1

logistic-regression-algorithm

coding-ai / machine_learning_cpp

kennethleungty / Logistic-Regression-Assumptions

Coldwave96 / MaliciousURLs

Ruban2205 / Iris_Classification

Aakash1822 / Fruit_prediction

Ankit152 / IMDB-sentiment-analysis

saichandrareddy1 / Machine_Learning_basics

suubh / Machine-Learning

Saket-Kr / ML-Prep

felipexw / guessb

meuwebsite / Facebook--PredictCustumer-Click

NehaPant14 / Loan-Prediction

Jspano95 / Retail-Customer-Classification-Modelling

Sarthak-Mohapatra / Classification-of-tumors-in-Human-Breast-as-Bening-or-Malignant-using-ML-Algorithms.

sauriii98 / Deep-Learning-algorithms

zhuqiqi19941122 / binary-classification-algorithm

Abhijit2505 / Cat-Photo-Classification

Abhijit2505 / Data-Science

Ansu-John / Regression-Models

boosuro / predicting_numbers_in_image_with_logistic_regression

dileepkorade / Machine-Learning_Projects

ligerfotis / CSE6363_Machine_Learning

Saadia-Hassan / ML-Classifiers

Sahil-Chavan / MicrosoftMalwareDetection

Sarthak-Mohapatra / Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type.

thenomaniqbal / LogisticRegression-BreastCancerDS

tofti / python-logisticregression

vaitybharati / Assignment-06-Logistic-Regression

vipulvs91 / LitModel

easonlai / diabetes_prediction_lr_xgb

jamestiotio / ml

khadkarajesh / wine-prediction

prabhatk579 / logistic-regression-from-scratch

Pushpendra9350 / Sentiment-prediction-on-reviews

SaadTariq01DataAnalyst / Prediction-of-Bank-Churn-Customer

vaitybharati / P28.-Supervised-ML---Logistic-Regression---Appointing-Attorney-or-not