Tejash Bansal's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
In this project, we aim to help a client or company understand key aspects of running an online ad campaign on YouTube. Our primary goals are to categorize videos based on comments and stylistics, and to identify factors affecting the popularity of YouTube videos. By doing this, the client can make informed decisions before investing in campaign.
This project predicts if a student will get an admission (on based on his/her GRE score, GPA score and University rank) to university or not.
This project outlines an end-to-end data engineering pipeline for analyzing Indian Premier League (IPL) data using Apache Spark on Databricks.
AWS-Cloud-based-Reddit-ETL-to-Redshift is a scalable and efficient data pipeline designed to extract, transform, and load (ETL) data from Reddit into an Amazon Redshift data warehouse.
Welcome to our project! This project demonstrates how to build a data pipeline using Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics. The goal is to extract/load data from an API/Kaggle, transform it, and gain insights through SQL queries and visualizations.
This project provides an end-to-end solution for ingesting data from an on-premise SQL Server database, transforming it, and visualizing it using various Azure services. The goal is to store, clean, and analyze data efficiently while ensuring security and governance.
In this project, I have applied basic machine learning concepts on data collected for housing prices in Boston, Massachusetts area to predict the selling price of a new home.
Covid-19 Dashboard track the corona virus cases and shows the real time data on app launch and shows the data on a dashboard. This Project was developed in Python, Dash and plotly.
Welcome to the Cricket Stadium Data Pipeline project! This Python-based project is designed to automate the process of extracting cricket stadium data from Wikipedia, cleaning it, and storing it in Azure Data Lake.
Daily Blog is a Blogging Website where the users can read and post the Articles. And also comment on other articles also. This Project was developed in Node, Express, Mongo DB, HTML, CSS, Bootstrap.
Free Data Engineering course!
DataFlowX is an innovative end-to-end data engineering pipeline designed to handle real-time data acquisition, processing, and sentiment analysis.
DBT Project with Bigquery integration
In this project, our objective is to predict whether the patient has diabetes or not based on various features like Glucose level, Insulin, Age, BMI. We will perform all the steps from Data gathering to Model deployment. During Model evaluation, we compare various machine learning algorithms on the basis of accuracy_score metric and find the best one. Then we create a web app using Flask which is a python micro framework.
Apache Hadoop docker image
Apache Spark docker image
This is the simple Java script Application in which user can play different-different sounds with the press of the keyboards buttons.
Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser
This repository is created to conduct practical examination of Full Stack Web Development.
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
web scraping," is the process of extracting large amounts of information from a website. This may involve downloading several web pages or the entire site. The downloaded content may include just the text from the pages, the full HTML, or both the HTML and images from each page.
Data cleaning, pre-processing, and Analytics on a Health care data using Spark and Python.
In this project, we will be connecting and controlling our ESP8266 Wi-Fi based module from our mobile phoneβs Google Assistant Application. The charisma here is that your google assistant will take voice commands in Hindi and perform actions on ESP8266 . It will then perform actions based on our voice commands. This project is amazing and helpful for those who want to make a Voice operated IoT Home Automation for their parents who are not able to speak English. To make everything work, we will also require Adafruit IO and IFTTT. We will add up everything to work.
In this project Use machine learning to recognize various activities by taking the activity recognition data set. The dataset includes sensor readings of 30 different individuals and the type of activity they were recorded for. This data was extracted from UCI repository to classify various activities.
MNIST Handwritten Digit Classifiation using Deep Learning with accuracy of 98%.