VainateyaDeshmukh

Machin_Learning

The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to decision making through statistics. A loan Prediction CSV was used to create the various Machine Learning Models.For NLP the Amazon_alexa.tsv

Python_DataStructure

Here the basics of Python was introduce and taken to the intermediate level of handling CSV,EXCEL & TEXT files

Attrition_Analysis

Attrition Analysis and US_Airline Sentiment Analysis for Positive and Negative reviews

Boston_House_Price

Cosmetic

Cosmetic Recommendation Engine

Coursera_Capstone

Learning Model

Learning_R_programming

As R Programming is majorly famous for statistical and graphical approach with built in datasets and library to practics.Here in this cource we learn the statistical approach through programming and understanding the various parameter to find out the Normality of the data.

ML-on-Titanic-DataSet

MLOps-IRIS

Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps

Python_Assignment

To test the knowledge of Basic Python and Data exploration technique

Retail_Analytics

Forecasting the sales through various models

The-Spark-Foundation

VainateyaPortfolio.github.io

WebScrapper

Learning use of Selenium Library