Its a Data analytics ecommerce project with SQL, Pyhton.

Performing Exploratory Data Analysis (EDA) and handle values in the diabetes dataset is done by follwing some steps 1. initially understanding the Dataset

Data cleaning is a key part of data science,often referred to as data preprocessing or data wrangling, is a crucial step in the data science process. It involves preparing and transforming raw data…

Handling Missing Values of NFL dataset of 2009-2010

Building a simple neural network in tensorflow and keras

Classifies the message into spam or not is done. The dataset contains two columns one is the label(spam or ham) and second is the raw text.

My NLP Learning Journey.

Embarking on a journey into the realms of Deep Learning, this repository captures my step by step exploration of neural networks, algorithms, and cutting-edge methodologies."

House Price is predicted based on area using Linear regression. In training data set area vs corresponding price is provided and train a linear regression model using sklearn linear regression clas…

House Price is predicted based on area using MultiLinear regression. In training data set area vs corresponding price is provided and train a linear regression model using sklearn linear regression…

Performing EDA using Klib library

using python simple calculator

first test