Palak-15

And_Perceptron

Backpropagtion_in_neural_network

Brick_Breaker

Brick Breaker Game using JavaScript, HTML, CSS

CartPole-v0-Reinforcement-Learning

It is tensorflow implementation of Actor-Critic Method.

Dog-Breed-Classifier

Dog Breed Classifier

Face-Generation

Using GANs

Housing-Case-Study

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.

Scaled-YOLOv4-tensorflow2

A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network

Telecom-Churn-Case-Study

Predict a particular customer will switch to another telecom provider or not(churn or not churn) using Logistics Regression.

TV-Script-Generation

Generates TV Script

Palak-15/Brick_Breaker

Brick Breaker Game using JavaScript, HTML, CSS

Palak-15/CartPole-v0-Reinforcement-Learning

It is tensorflow implementation of Actor-Critic Method.

Palak-15/Telecom-Churn-Case-Study

Predict a particular customer will switch to another telecom provider or not(churn or not churn) using Logistics Regression.

Palak-15/TV-Script-Generation

Generates TV Script

Palak-15/And_Perceptron

Palak-15/Backpropagtion_in_neural_network

Palak-15/CIFAR-Augumentation

Palak-15/Convolutional-Autoencoder

Dataset : MNIST

Palak-15/Cross_Entropy

Palak-15/decline_viewership_linear_regression

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.

Palak-15/document_Classifer

Classify document using bag of words

Palak-15/Dog-Breed-Classifier

Dog Breed Classifier

Palak-15/Face-Generation

Using GANs

Palak-15/Gradient_for_single_layer

Palak-15/Housing-Case-Study

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.

Palak-15/Image_Classifier

Using keras and tensorflow as Backend

Palak-15/Lyrics_Generator

Your Program will generate lyrics of a song.

Palak-15/Mnist-MLP

Multi Layer Perceptron using Mnist data

Palak-15/Multilayer_Perceptron

Palak-15/Not_perceptron

Palak-15/Predict-Insurance-charges

Predict Insurance charges using feature bmi, sex, smoker, region, have children and age

Palak-15/Simple-Linear-Regression

It is simple linear regression model for advertising.

Palak-15/tensorflow

Computation using data flow graphs for scalable machine learning

Palak-15/Titanic_Data_Analysis

Palak-15/Housing-Case-Study-with-RFE

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.

Palak-15/Object_detection_tensorflow2.2.0

Palak-15/Online_retain_customers_clustering

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.

Palak-15/Scaled-YOLOv4-tensorflow2

A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network

Palak-15/Palak_Singla

Palak-15/Satelite_Image_Processing

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.