bondeanikets's Repositories

28 repositories

Applied-Machine-Learning-in-Python
Applied Data Science with Python Specialization: Course 3 (University of Michigan)
⭐ 4 🌐 Public
Applied-Plotting-Charting-and-Data-Representation-in-Python
Applied Data Science with Python Specialization: Course 2 (University of Michigan)
⭐ 14 🌐 Public
Applied-Text-Mining-in-Python
Applied Data Science with Python Specialization: Course 4 (University of Michigan)
⭐ 27 🌐 Public
Artificial-Intelligence
CSCE 625: Artificial Intelligence
⭐ 0 🌐 Public
Authentication-System
No description
⭐ 0 🌐 Public
Automatic-Trivia-Fact-Extraction-from-Wikipedia
Automatic Trivia Fact Extraction from Wikipedia
⭐ 0 🌐 Public
bondeanikets.github.io
No description
⭐ 0 🌐 Public
Build-a-Polling-App-With-Rails
Source code for the Tuts+ Course: Build a Polling Application With Rails
⭐ 0 🌐 Public
Capital_One
No description
⭐ 0 🌐 Public
creative_machine
Machine Learning to help user on creative therapy.
⭐ 0 🌐 Public
Electric_Load_Prediction
Predict electric load on a building given the load history (time-series data)
⭐ 0 🌐 Public
Facebook_Challenge_Humans_VS_Robots
This project aims to predict the probability that the bidder is a human or a robot based on his history of bids on an online auction platform.
⭐ 1 🌐 Public
Geoffrey-Hinton-Neural-Networks-for-Machine-Learning
Repository for working through Geoffrey Hinton's Neural Network for Machine Learning course
⭐ 8 🌐 Public
Granular-Real-Time-Online-Polling-System
Polling management system
⭐ 0 🌐 Public
Helpfulness-Prediction-and-Ranking-of-Amazon-Product-Reviews
This project aims to predict how helpful a review on amazon is by using the previously available data. Most of the reviews shown on Amazon are very outdated because they have been rated by the users while the newer reviews are not popular because they are not rated by many users. Later, reviews are ranked by measuring the information content in them by the Entropy concept.
⭐ 7 🌐 Public
ig_details
Quick script to fetch IG details on any account
⭐ 0 🌐 Public
Improving-Deep-Neural-Networks-Hyperparameter-Tuning-Regularization-and-Optimization
Deep Learning Specialization (Prof. Andrew Ng): Course 2
⭐ 6 🌐 Public
interviews
Everything you need to know to get the job.
⭐ 0 🌐 Public
Introduction-to-Data-Science-in-Python
Applied Data Science with Python Specialization: Course 1 (University of Michigan)
⭐ 7 🌐 Public
leetcode-by-company
leetcode question list by companies, include the premium questions
⭐ 1 🌐 Public
Natural-Language-Processing
CSCE 689: Natural Language Processing
⭐ 0 🌐 Public
Neural-Networks-and-Deep-Learning
Deep Learning Specialization (Prof. Andrew Ng): Course 1
⭐ 3 🌐 Public
NightFox
Sketch Recognition Project
⭐ 0 🌐 Public
Real-Time-Polling-SAAS-Application
No description
⭐ 0 🌐 Public
Sketch-Recognition
CSCE 624: Sketch Recognition
⭐ 3 🌐 Public
Social-Circle-and-User-Personality-based-Recommendation-System
Recommendation via user’s personality and social contextual
⭐ 5 🌐 Public
Software-Engineering-HW3
Homework Completed
⭐ 0 🌐 Public
Software-Engineering-HW4
RottenPotatoes
⭐ 0 🌐 Public