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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-

custom_multi_layer_perceptron_training

donor-s-choose

This project is taken from Kaggle.com and is done only on 50,000 dataset

face-recognisation-kinship-relationship

Rank-55

lcm-of-number-in-python

take any two numbers and get the lcm in python

ltfs-datascience-hakathon

Source: https://datahack.analyticsvidhya.com/contest/ltfs-datascience-finhack-an-online-hackathon/pvt_lb

match_vehicle_id

Here I am Predicting Vehicle_ID because that will correspond directly to driver id

ml-hikethon-link-prediction-

source: https://datahack.analyticsvidhya.com/contest/ltfs-datascience-finhack-an-online-hackathon/pvt_lb

movie-recommendation-system-

navneetkr.github.io

pdf-extractor

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”.

rest-api

restaurant-review-analysis-nlp-based-

Here in this project we will analyse the sentiments of Restaurant reviews.

santander-customer-transaction-prediction

Private score = 0.91433 Public score = 0.91497

speechtotextconverter

spokenwrittenwordconverter

step-by-step-data-preprocessing-and-encoding

In this notebook everything is done from data preprocessing to encoding

twitter-sentiment-analysis