Online Course Logistic Regression With Numpy And Python From Coursera

Logistic Regression With Numpy And Python By the time you complete this project, you will be able to build a logistic regression model using python and numpy, conduct basic exploratory data analysis, and implement gradient descent from scratch. Join this engaging, project based course on logistic regression with python and numpy, designed for intermediate learners in data science & ai. offered by coursera, it provides 240 minutes of in depth content at no cost.

Logistic Regression With Numpy And Python Learn to build a logistic regression model using python and numpy with coursera project network. gain a deeper understanding of machine learning fundamentals by implementing algorithms from scratch. Implement logistic regression from scratch using python and numpy to predict handwritten digits, focusing on fundamental concepts and optimization algorithms without relying on machine learning libraries. By the time you complete this project, you will be able to build a logistic regression model using python and numpy, conduct basic exploratory data analysis, and implement gradient descent from scratch. Successful completion of logistic regression with numpy and python an online non credit course authorized by coursera project network and offered through coursera.

Logistic Regression With Numpy And Python By the time you complete this project, you will be able to build a logistic regression model using python and numpy, conduct basic exploratory data analysis, and implement gradient descent from scratch. Successful completion of logistic regression with numpy and python an online non credit course authorized by coursera project network and offered through coursera. This repository contains all the files relating to the coursera course 'linear regression with numpy and python' by instructor snehan kekre on the platform rhyme. The document is a course completion certificate for "logistic regression with numpy and python". it states that aseer anwar successfully completed the online non credit course, which was authorized by coursera project network and offered through coursera.