## What is ChatGPT 4, Is it a threat?

GPT-4 is an extended version of chatGPT 3.5 powered by OpenAI. It is a multi-model platform available to only chatGPT plus users right now. ChaGPT… Read More »What is ChatGPT 4, Is it a threat?

GPT-4 is an extended version of chatGPT 3.5 powered by OpenAI. It is a multi-model platform available to only chatGPT plus users right now. ChaGPT… Read More »What is ChatGPT 4, Is it a threat?

There is so much confusion around this basic concept. Often people ask me what is the real difference between these terms Al vs ML vs… Read More »AI vs ML vs DL vs Data Science

You can subscribe to my YouTube channel. Model evaluation is a core part of building an effective machine-learning model. Model evaluation is very important for… Read More »Model Evaluation Metrics in Machine Learning

One day a client ask me, look we have a set of users and they got some data, but they are not sure what question… Read More »What is Exploratory Data Analysis?

By Narendra Kumar Welcome to the new blog series on Time series analysis. In the previous blog, we saw how to build a logistic regression… Read More »Time Series Analysis: Forecasting the demand Part-1

Welcome to another blog on Logistic regression in python. In previous blog Logistic Regression for Machine Learning using Python, we saw univariate logistics regression. And… Read More »Building A Logistic Regression model in Python

In the Logistic Regression for Machine Learning using Python blog, I have introduced the basic idea of the logistic function. The likelihood, finding the best… Read More »Maximum Likelihood Estimation (MLE) for Machine Learning

We have covered a good amount of time in understanding the decision boundary. Check out the previous blog Logistic Regression for Machine Learning using Python.… Read More »Cost Function in Logistic Regression

Welcome, to the section on ‘Logistic Regression’. Another technique for machine learning from the field of statistics. In the linear regression model used to make… Read More »Logistic Regression for Machine Learning using Python

In the last article, we saw Cost function in detail. Y=β0 + β1x where β0 is the intercept of the fitted line and β1 is… Read More »An Intuition Behind Gradient Descent using Python