Gaurav Chopra's repositories
analysis-of-tomato-leaf-disease-identification-techniques
analysis of tomato leaf disease identification techniques
stackoverflow-chatbot
A conversational bot that will assist with search on StackOverflow.
language-modeling
Create and train a neural network to predict the next word in a sequence (i.e. sequence of words), based on the preceding words in the sequence.
Neural-Machine-Translation
Create and train a neural network for sequence to sequence language translation (seq2seq) for sentences and phrases from English to Hindi.
Reddit-Flair-Detection
This repository contains the details and documents on how to build a Reddit Flare Detection Machine Learning Web Application
todomagic
“Todo” web application which has a user registration and login functionalities, to add/delete/rank(prioritize) tasks in the todo list and also to share a todo list over email from the web-app itself.
WhatsApp-Chatbot
This repository contains the details and documents on how to build a WhatsApp Chatbot
colab-webcam
Notebook for accessing local webcam within Google Colab on Images and Videos. Basic tutorial running face detection on webcam image and video.
Explore-Supervised-Machine-Learning
In this task, we will try to understand supervised machine learning through regression i.e., by predicting the precentage of marks that a student is expected to score based upon the number of hours they studied.
Explore-Unsupervised-Machine-Learning
In this task, we will try to understand unsupervised machine learning through clustering i.e., by using iris dataset and creating groups using KMeans clustering.
feature_extraction
the improvements gained by using features that are computed from the raw pixels than as opposed to using raw pixel values.
FlairifyMe
FlairifyMe is a Reddit Flair Detector for r/india subreddit, that takes a post's URL as user input and predicts the flair for the post using a model generated by Logistic Regression.
gauravchopracg.github.io
Build a Jekyll blog in minutes, without touching the command line.
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
linear-models
try to separate objects with a plane which divides space into two parts
Musk-Internship-Task
Exploration and Modeling on News articles
Reddit-Flare-Detection
This repository contains the details and documents on how to build a Reddit Flare Detection Machine Learning Web Application
text-analysis
Analysis of the Data of 2018 Millennial Cities Ranking and Creating a Recommendation System to recommend a CITY to a customer
Two-Layer-Neural-Network
the implementation of a two-layer neural network classifier.