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Hi guys. In this blog, we are going to learn about GPT3 and how it can help us to generate text

What’s GPT 3???

It stands for Generative Pre-trained Transformer 3

GPT3 is a deep learning language model trained on 175+ million parameters that makes it best for most NLP tasks.

What GPT 3 can do???

GPT-3 can…

I took this problem statement from Kaggle competition. Here we have two datasets.

  1. True.csv
  2. Fake.csv

So let’s work with these datasets in collab. You can access my repository mentioned bottom of this blog.

Let’s jump directly in coding.

Primary Steps

  1. Import all the necessary libraries.
import numpy as npimport pandas as…

In this blog, I’m going to create a few ML models using Scikit-learn library and we’ll compare the accuracy for each of them.

For complete source code and dataset, you can visit my repository. (Link mentioned at the end of this blog).

About Dataset

This dataset contains 7 features as shown below:

In this blog, we are going to classify emails into Spam and Anti Spam. Here I have used SVM Machine Learning Model for that.

All the source code and dataset are present in my GitHub repository. Links are available in the bottom of this blog.

So let's understand the dataset…


In this blog, I’m going to use Diabetes dataset which I got from Kaggle. I’ll be showing you how to analyse the data and apply different Machine Learning Classification Models.

So I have used 4 different ML models for predicting Diabetes.


In this blog, we are going to look at RNN ie. Recurrent Neural Network. I’ll be sharing the theory and then we’ll solve a real-time problem using RNN.

RNN is used for sequential data such as Time series data, Heartbeat data.

About RNN

If anyone asks you 1,2,3,4,5, ??? You can easily…

In this blog, I’ll show how to build CNN model for image classification.

In this project, I have used MNIST dataset, which is the basic and simple dataset which helps the beginner to understand the theory in depth.

So let’s start….

About Dataset

The MNIST database of handwritten digits, available from this…


In this blog, we are going to look at the following topics.

  1. About CNN
  2. Image Kernels and filters
  3. Convolutions
  4. Pooling Layers

So let’s know what is CNN Convolutional Neural Networks.

Convolutional Neural Networks (CNN) is a specific architecture of Neural Networks that are extremely effective at dealing with image data.

COMPUTER VISION — Computer Vision is a general term…

In this blog, I will make you understand everything about Artificial Neural Networks.

We'll be going deep in theory and will solve a problem using the ANN model.

Artificial neural networks (ANN) are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems “learn” to…

In this blog, I’ll share my experience and method to Build a Machine Learning Model for predicting Heart Disease.

Dataset Used-

About the dataset:


Technology Enthusiastic Guy. I post blogs related to Data Science, Machine Learning, Python, Flutter and much more.

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