logistics-regression-bank-dataset-using-r

Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no")

logistics-regression-extra-marital-affairs-dataset-using-r

I have a dataset containing family information of married couples, which have around 10 variables & 600+ observations. Independent variables are ~ gender, age, years married, children, religion etc. I have one response variable which is number of extra marital affairs. Now, I want to know what all factor influence the chances of extra marital affair. Since extra marital affair is a binary variable (either a person will have or not), so we can fit logistic regression model here to predict the probability of extra marital affair.

machine-learning-algorithms

One notebook to learn it all - Algorithms from scratch

machinehack

mcq-generator-using-ai

This repo explains how to create a mcq generator for primary kids using NLP techniques like transformer

ml-in-production-english

Machine Learning in Production

ml-workflows

A project to provide an easy way to get started building distributed environments for machine learning workflows in AWS using Prefect and Dask.

mlops

MLOps examples

mlops-basics

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

mlops-zoomcamp

Free MLOps course from DataTalks.Club

mlopspython

MLOps using Azure ML Services and Azure DevOps

mlzoomcamp_midterm

Lending Club Kaggle Dataset

multilinear-regression-computer-sales-dataset

Predict sales of the computer

multilinear-regression-computersales-dataset-with-pythons

To Predict Sales Of Customers

multilinear-regression-startup-dataset

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.

multilinear-regression-startup-dataset-using-python

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.

multilinear-regression-toyota-corolla-dataset-using-python

Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]

multilinear-regression-toyota-corolla-dataset-using-r

Q)Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]

my_notes

My small cheatsheets for data science, ML, computer science and more.

naive-bayes--sms-dataset-using-python

Build a naive Bayes model on the data set for classifying the ham and spam

naives-bayes-salary-dataset-using-python

1) Prepare a classification model using Naive Bayes for salary data

naives-bayes-salary-dataset-using-r

1) Prepare a classification model using Naive Bayes for salary data

naives-bayes-sms-dataset-using-r

Build a naive Bayes model on the data set for classifying the ham and spam

natural-language-processing

neural-network--forestfire-dataset-using-r

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

neural-network-concrete-dataset-using-python

Prepare a model for strength of concrete data using Neural Networks

neural-network-forestfire-dataset-using-python

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

neural-network-startup-dataset-using-python

Build a Neural Network model for 50_startups data to predict profit

neural-network-startup-dataset-using-r

Build a Neural Network model for 50_startups data to predict profit