Name: Palak
Type: User
Company: www.palaksingla.com
Bio: I'm a simple human being, with no complex circuit and an insightful engineer who is passionate about AI and her dreams.
Checkout mywebsite: www.palaksingla.com
Twitter: Palak_15_
Blog: https://www.linkedin.com/in/palak-singla,
Palak's Projects
Brick Breaker Game using JavaScript, HTML, CSS
It is tensorflow implementation of Actor-Critic Method.
Dataset : MNIST
Problem Statement: A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
Classify document using bag of words
Dog Breed Classifier
Using GANs
Predict the best classifier for the given data.
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimize the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc. Essentially, the company wants — To identify the variables affecting house prices, e.g. area, number of rooms, bathrooms, etc. To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To know the accuracy of the model, i.e. how well these variables can predict house prices.
Using keras and tensorflow as Backend
Predict body weight using brain weight-Implementing deep learning
Linear Regression Problem
Your Program will generate lyrics of a song.
Multi Layer Perceptron using Mnist data
Online retail is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.
Predict Insurance charges using feature bmi, sex, smoker, region, have children and age
It is tensorflow 2.0 implementation on Eurosat Dataset. IT classfies different types of satelite images. Used transfer learning in end to reduce overfitting and increase accuracy.
A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network
Sentiments analysis of the tweets
It is simple linear regression model for advertising.