Pinned Repositories
automata
CAT-AND-DOG-DETECTION-USING-CNN
customer-behavior-analysis
Datapreprocessing
BLOG ON DATA PREPARATION
Decisiontree-vs-Randomforest
In this model i have applied both decision tree and random forest on a data set and predict by the help of confusion matrix and classification report
Extractive-Text-Summarization
Google_stock_price_prediction_using_rnn
Handwritten-text-recognization
handwrittern-digit-recognition
handwritten digit recognizer trained on MNIST dataset
Intro-to-Data-Science-in-Python
Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera
simranrout's Repositories
simranrout/automata
simranrout/CAT-AND-DOG-DETECTION-USING-CNN
simranrout/customer-behavior-analysis
simranrout/Datapreprocessing
BLOG ON DATA PREPARATION
simranrout/Decisiontree-vs-Randomforest
In this model i have applied both decision tree and random forest on a data set and predict by the help of confusion matrix and classification report
simranrout/Extractive-Text-Summarization
simranrout/Google_stock_price_prediction_using_rnn
simranrout/Handwritten-text-recognization
simranrout/handwrittern-digit-recognition
handwritten digit recognizer trained on MNIST dataset
simranrout/mean-median-mode-using-c
In this program we will calculate mean,median mode of any array using c.
simranrout/netflix-reccomendation-system
This contains a data set in which there are negative as well as positive review.This project will separate the data set and carried out some index and at last user will get popularly recommended movies,series etc.
simranrout/predicting-review-using-NLP
simranrout/Quora_Classification
Quora is an American question and answer website where questions are asked and edited by the Internet users, in the form of opinions, which include questions that are harmful to our community, and should be removed before they have a chance to cause harm(or spawn imitators). The entire project would be consisting of predicting sincerity of questions on Quora. The dataset concerned here, consists of over 1.3 million questions, having the opportunity to train and test models, to detect insincerity and trolling based on real Quora questions. In conjunction with dataset, the project would be focused on solving this problem. We have used machine learning involving classification for the same. The entire project duration consists of training the available dataset with appropriate algorithms, to develop a model, and then testing the model with appropriate test dataset. The aim of the analysis is to provide a safe and legit content website for Quora's 300 million monthly users. Count Vectorizer model was developed for each question, which was then fitted to Logistic Regression model, which classified the unseen questions with about 91 % accuracy. Keywords: Quora, Insincerity , trolling, prediction, machine learning
simranrout/Sentence-generator-using-ngram
I have developed one character ngram and word ngram to generate a sentence. I have taken a very small dataset. After applying both the model i got to know that word ngram give more accurate result as compare to character ngram.
simranrout/sentiment_analysis
I have done 2 types of sentiment analysis.
simranrout/TextSummarization
simranrout/Titanic-Machine-Learning-from-Disaster
Predicting survival on the Titanic and get familiar with ML basics
simranrout/Webscarping_gettinghtml-code
We can get any html file background code with the help of beautiful soup and requests library of python
simranrout/Webscrapping
simranrout/-python-in-just-10-program
In this repository you will get to know about all the concept of python in just 10 programs
simranrout/AR
simranrout/BookShowWithTMDB
simranrout/Compare-2-document
simranrout/CookieWithJS
simranrout/Geeks_For_Geeks_iOS_App
simranrout/IOS_Youtube_Playlist_App
simranrout/MEANSQUAREDERROR
simranrout/selectionsort-using-c
In this repository selection sort has been explained and executed using c programming language.
simranrout/TargetDeals
Architecture - VIPER
simranrout/website
The train engine powering the Coding Train website