This Repository contains cognitiveai class's all practice labs.
-
Updated
Jan 24, 2020 - Jupyter Notebook
This Repository contains cognitiveai class's all practice labs.
heart disease detection using different ML algorithms Like SVM ,KNN, Ensemble method ,decision tree,LR
SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier
Analysing the results of an A/B test run for an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.
Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.
A Classification Model relies on Logistic Regression and Decision Tree Algorithm Has been build in this project to predict severity of Damage based on Earthquake Grade 0-5
This repository contains the code and data for a comprehensive survival analysis and prediction study conducted on patients with advanced heart failure. The study focused on 299 patients classified as class III/IV heart failure.
Machine Learning Algorithms Scratch Implementations
Azure ML Pipeline Project, completed for Nanodegree
I developed the model to attain the predictive analysis in this task.
feature selection is done before the model implementation like svm or logistic regression or .....
Разработка инструмента, который будет искать токсичные комментарии и отправлять их на модерацию. Модель классифицирует комментарии на позитивные и негативные.
Create a model to predict if a customer will leave the bank.
Interconnect : Clients Churn Prediction using ML
All of my data analysis and Machine learning Projects.
Machine Learning Lecture Notes
The Titanic dataset is a well-known dataset in the field of data analysis and machine learning. The Titanic dataset is a well-known dataset in the field of data analysis and machine learning.
This project aims to predict customer churn using machine learning techniques. By understanding the factors that contribute to churn, businesses can take proactive measures to retain customers and maximize their customer base. The project focuses on developing a predictive model using machine learning algorithms to forecast customer churn.
Add a description, image, and links to the logisticregression topic page so that developers can more easily learn about it.
To associate your repository with the logisticregression topic, visit your repo's landing page and select "manage topics."