This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.

This python project explains how to implement sentiment analysis using machine learning (SVM) on amazon Alexa reviews dataset.

In this notebook, we will look at performing Exploratory Data Analysis on the Airbnb dataset available on Kaggle.

This code will help you to create and customize histograms using python.

This project demonstrates how to perform exploratory data analysis on car price prediction dataset. The dataset is available on Kaggle and consists of various attributes related to the sales price of used ford cars. We will be performing Exploratory Data Analysis to understand this data and to find out which factors affect the sales price of use…

This project demonstrates how to perform sentiment analysis using deep learning on Amazon product reviews dataset. The dataset used for the project is obtained from Kaggle and consists of nearly 3000 reviews of amazon users regarding various amazon Alexa products like Alexa echo, Alexa dot etc. Exploratory data analysis is performed on the datas…

This code will help you to create and customize pie charts using python.

This project demonstrates how to implement k-means clustering on unsupervised data. The dataset used here is the famous iris dataset. To see a complete video explanation on this topic, check out the attached link.

This python project implements sentiment analysis using machine learning on amazon product reviews dataset.

This code explains how to create and customize bar charts using matplotlib library.

Implementing neural networks on the IMDB movie review dataset of 50k movie reviews

This code will help you to create and customize seaborn heatmaps using python.

This notebook will show you how to implement a deep leaning algorithm (LSTM) on the Amazon Alexa Reviews dataset

This code explains how to create and customize word clouds in python.

This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.

This repository contains the code used in my tokenization tutorial video.

In this notebook, we will be performing machine learning on the Big mart sales dataset

K means clustering implementation on the wine quality dataset

This code explains how to create and customize decision trees in python.

This notebook will show you how to perform exploratory data analysis on the Big Mart Sales dataset