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-mnitagainstexams

A simple VADER sentiment analysis on the MNIT students tweets and their response towards EXAMS.

911callsproject

Extracted, interpreted and cleaned data to get rid of null values and classified the reasons for making 911 calls. Derived new columns to segregate data by demographics, city, season, date-time and plotted countplot for the same. Created lmplot for linear fit on number of calls per month and plotted heatmaps in reference to the cause of calls.

data-acience-basics

data-science-resources

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

deep-survey-text-classification

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

deeplearning-models

A collection of various deep learning architectures, models, and tips

digitrecogniser

Develop a deep learning model to achieve near state of the art performance on the MNIST handwritten digit recognition task in Python using the Keras deep learning library.

dipd

Riots and protests, if gone out of control, can cause havoc in a country. We have seen examples of this, suchas the BLM movement, climate strikes, etc., which caused worldwide disruption. Our motive behind creatingthis dataset was to use it to develop machine learning systems that can give its users insight into the trendingevents going on and alert them about the events that could lead to disruption in the nation. If any event startsgoing out of control, it can be handled and mitigated by monitoring these events before the matter escalates.This dataset collects tweets of past or ongoing events known to have caused disruption and labels these tweetsas 1.

ensemble-model

hello-world

ipl-first-innings-score-predictor

k-nearest-neighbour-project

A random data set has been chosen on which EDA is perfromed and K Nearest Model is implemented.

krl-webpage

neighborhood-blending

nlp_2

novel_nlp

open-contributions

This Repository is for Learning purpose, and open contributions under DevIncept program.

openworld

react_test

A simple atempt towards learning HTML ,CSS and javascript

sonisanskar

sparks_grip

stackoverflow

One short text dataset for classification and clustering extracted from StackOverflow

tai-ieee

textcnn

textconvonet

titanicsurvivalprediction

Refined the data and split into training and test sets, handled missing values and conducted uni-variate and bi-variate analysis. Applied the concept of feature engineering in creating new columns and evaluated model accuracy using confusion matrix. Built models using various classification algos and made predictions for the same while handling overfitting issues wherever possible.

twilio

usa-housing-prices_linear-regression