bharathvarma008 Goto Github PK

age-detection-of-indian-actors

avalanche

Avalanche: an End-to-End Library for Continual Learning.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

basic-programming

bharath-varma

A Passionate Data Scientist from Hyderabad, India. Love Problem Solving and collaborating.

carnd-term1-p1-finding-lane-lines

Identifying Lane lines on a road for some test images and later applying the pipeline over a video.

conceptnet5

Code for building ConceptNet from raw data.

image-classification

binary image classifier that can predict to classify if a given image is a cat or a dog. The data consists of train and test sets with a volume of 6000 images

improving-tesseractv4-ocr

intrusion-detector-learning-system

The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between "bad" connections, called intrusions or attacks, and "good" normal connections in a network.

justicia-bharath

lucid

A collection of infrastructure and tools for research in neural network interpretability.

movie-review-sentiment-analysis

The data of user reviews about the movies are given. The ground truth about the review (whether it’s talking positive or negative about the movie) is not available. Based on the given information, design and develop an engine that can predict the sentiment of the statement/review. Given below are some of the pointers to solve this problem

odsc-east2018

"Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018.

pyspark_experiments

Running Pyspark experiments

rl-on-sumo

Demos of reinforcement learning on Simulation of Urban MObility

searchalgorithms

Generally used search algorithms and their explaination

songmatch

tidyexplain

Animations of tidyverse verbs using R, the tidyverse, and gganimate

user-interest-from-twitter-activity-of-user

Main Objective: Construct User from twitter activity of user Problem Definition: As we know Twitter is one of good sources of a user’s profile, people followed, Retweets and favorites etc. The data set contains tweets from around 5000 users which can be used tag each user with an interest. Task 1: Classify and extract relevant information from the Tweets and assign topic categories to each user Task 2: Create simple visualization for a user of his topic of interests Task 3: Assign user to interest buckets namely - "Sports", "Business", "Music" and "Other".