This Repository contains cognitiveai class's all practice labs.
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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
Unlock the potential of agricultural production with innovative optimization techniques. Explore strategies, technologies, and practices to enhance crop yields, improve efficiency, and sustainably increase output. Revolutionize farming practices and cultivate a thriving agricultural ecosystem
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.
We have used the Countvectorizer to convert text into a vector, Cosine Similarity for the recommendation and for review sentiment analysis we have used the Logistic Regression algorithm.
Dream Housing Finance company offers home loans to customers. The company takes into account personal information(demographic variables, historical loan status or economic variables) to either approve or deny the loan request for a particular amount and term.
Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes
IOT pump data for analytics
All of my data analysis and Machine learning Projects.
Machine Learning Lecture Notes
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