Tejash Bansal's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
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.
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.
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.
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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.
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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%.
This is the simple Java script Application in which user can play different-different Justin Bieber songs.
A repository to index and organize the latest machine learning courses found on YouTube.
The code from the Machine Learning Bookcamp book and a free course based on the book
This recommender system uses the IMDB api for recommend the movies to the user according to their selecting genres.