Ikhushbu

Automobile_EDA

Automobile EDA - Find insights from given Automobile dataset and also find relationships within data ,features visualize it using python (libraries) and Tableau also apply Machine learning algorithm.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

aws-iot-device-sdk-js

SDK for connecting to AWS IoT from a device using JavaScript/Node.js

Calculator

Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

NYC_Taxi_Trip_Duration

Develop models predict taxi trip duration in NYC

practicalAI

📚A practical approach to learning machine learning.

Ikhushbu/Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Ikhushbu/lectures

Oxford Deep NLP 2017 course

Ikhushbu/MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

Ikhushbu/numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Ikhushbu/Accent-Classifier

Ikhushbu/algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

Ikhushbu/Automobile-EDA

Exploratory Data Analysis using Python and find insights using Visualization.

Ikhushbu/aws-iot-examples

Examples using AWS IoT (Internet of Things)

Ikhushbu/BiDAF

Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi https://arxiv.org/abs/1611.01603

Ikhushbu/Credit-Risk-Analysis

Ikhushbu/Credit-worthiness--Machine-Learning

Ikhushbu/data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

Ikhushbu/DataAspirant_codes

Complete machine learning model codes

Ikhushbu/deep_rl_pong_keras

Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras

Ikhushbu/Employee-Attrition-Analysis

Employee Attrition Analysis and Machine Learning in Python

Ikhushbu/Machine_Learning

Directory for Machine Learning Projects

Ikhushbu/ml-interview

Preparing for machine learning interviews

Ikhushbu/practical-2

Oxford Deep NLP 2017 course - Practical 2: Text Classification

Ikhushbu/practical-3

Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs

Ikhushbu/practical-open

Oxford Deep NLP 2017 course - Open practical

Ikhushbu/PyMLSlides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

Ikhushbu/Question-Answering

Exploration of various deep neural networks for Question Answering and Reading Comprehension

Ikhushbu/Spookmentum

Ikhushbu/SQuAD

Building QA system for Stanford Question Answering Dataset

Ikhushbu/TakeHomeDataChallenges

My solution to the book <A collection of Data Science Take-home Challenges>

Ikhushbu/TaxiPrediction

Ikhushbu/tensorflow-tutorial

TensorFlow and Deep Learning Tutorials

Ikhushbu/time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

Ikhushbu/TimeSeriesAnalysiswithPython

Time Series Analysis with Python

Ikhushbu/ultra_ping

Measure UDP packet latency