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.
Create a model to predict if a customer will leave the bank.
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.
Retrieving Insights - Hypothesis Tests - Logistic Regression - Churn - Model - Python - DecisionTreeRegression
List of completed academic projects
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
peer-to-peer lending, use techniques to train and evaluate Machine Learning models with imbalanced classes to identify the worthy
The Water Quality Checker uses machine learning to analyze water quality parameters such as pH, solids, and conductivity, to determine if water is safe to drink. By inputting the values into the form, the model can predict if the water is fit for consumption or not.
Legal Taxonomy (https://taxonomy.legal/) Classifier on Reddit /r/legaladvice
Mini Data Science projects using the various Data Science tools and Machine Learning algorithms I learnt - Pandas, Seaborn, Numpy, Linear Regression, K Nearest Neighbour, , Decison Trees and Random Forest
Implementations of linear regression, logistic regression and perceptron using gradient descent. A implementation of Leave-one-out cross evaluation is also included in the logistic and perceptron files.
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