Pinned Repositories
AAIC_Notes
Ad-Click-Prediction-Rank-26-
Secured rank 26 out of 6456 participants
Ann_mnist
source: https://www.kaggle.com/ngbolin/mnist-dataset-digit-recognizer
Attention-Mechanism-HIn-Eng-Translator-NLP-
Autopilot-TensorFlow
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
ci-cd-tutorial-sample-app
A sample Python app that implements a REST API, with database migrations and CI/CD support.
CIFAR-10-Object-Recognition-In-Image-
The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research.[1][2] The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes.[3] The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. There are 6,000 images of each class
Clustering-using-deep-learning-LSTM-Autoencoder-Kmeans-
PDF-Extractor
SpokenWrittenWordConverter
navneetkr123's Repositories
navneetkr123/Clustering-using-deep-learning-LSTM-Autoencoder-Kmeans-
navneetkr123/AAIC_Notes
navneetkr123/Ad-Click-Prediction-Rank-26-
Secured rank 26 out of 6456 participants
navneetkr123/CIFAR-10-Object-Recognition-In-Image-
The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research.[1][2] The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes.[3] The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. There are 6,000 images of each class
navneetkr123/PDF-Extractor
navneetkr123/SpokenWrittenWordConverter
navneetkr123/Ann_mnist
source: https://www.kaggle.com/ngbolin/mnist-dataset-digit-recognizer
navneetkr123/Attention-Mechanism-HIn-Eng-Translator-NLP-
navneetkr123/Autopilot-TensorFlow
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
navneetkr123/ci-cd-tutorial-sample-app
A sample Python app that implements a REST API, with database migrations and CI/CD support.
navneetkr123/cifar-pruning
navneetkr123/Custom_Multi_Layer_Perceptron_Training
navneetkr123/Donor-s-Choose
This project is taken from Kaggle.com and is done only on 50,000 dataset
navneetkr123/Face-Recognisation-Kinship-Relationship
Rank-55
navneetkr123/financial_analysis
navneetkr123/LCM-of-number-in-python
take any two numbers and get the lcm in python
navneetkr123/LTFS-DataScience-Hakathon
Source: https://datahack.analyticsvidhya.com/contest/ltfs-datascience-finhack-an-online-hackathon/pvt_lb
navneetkr123/Match_Vehicle_ID
Here I am Predicting Vehicle_ID because that will correspond directly to driver id
navneetkr123/ML-hikethon-Link-Prediction-
source: https://datahack.analyticsvidhya.com/contest/ltfs-datascience-finhack-an-online-hackathon/pvt_lb
navneetkr123/Movie-Recommendation-System-
navneetkr123/navneetkr.github.io
navneetkr123/Predict-the-News-Sentiment
Social Media has been taking up everything on the Internet. People getting the latest news, useful resources, life partner and what not. In a world where Social media plays a big role in giving news, we must also know that news which affects our sentiments are going to get spread like a wildfire. Here is a dataset which has news items based on four topics, economy, Obama, Microsoft, and Palestine. Based on the Headline and the title, and according to the date given and the Social media platforms, you have to predict how it has affected the human sentiment scores. You have to predict the column “SentimentTitle” and “SentimentHeadline”.
navneetkr123/rest-api
navneetkr123/Restaurant-Review-Analysis-NLP-Based-
Here in this project we will analyse the sentiments of Restaurant reviews.
navneetkr123/Santander-Customer-Transaction-Prediction
Private score = 0.91433 Public score = 0.91497
navneetkr123/SpeechToTextConverter
navneetkr123/Step-By-Step-Data-Preprocessing-and-Encoding
In this notebook everything is done from data preprocessing to encoding
navneetkr123/Twitter-Sentiment-Analysis