Pinned Repositories
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's Repositories
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.
Ikhushbu/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Ikhushbu/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Ikhushbu/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Ikhushbu/datascience-ai-machinelearning-resources
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
Ikhushbu/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Ikhushbu/keras-squeezenet
SqueezeNet implementation with Keras Framework
Ikhushbu/MachineLearningNotebooks
Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.
Ikhushbu/magenta
Magenta: Music and Art Generation with Machine Intelligence
Ikhushbu/tutorial
Deeplearning Algorithms Tutorial
Ikhushbu/vega-lite
A concise grammar of interactive graphics, built on Vega.
Ikhushbu/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
Ikhushbu/courses
fast.ai Courses
Ikhushbu/Credit-Score-Predictive-Modeling
Ikhushbu/daanet
DAANet: Dual Ask-Answer Network for Machine Reading Comprehension
Ikhushbu/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Ikhushbu/Employee_attrition_use_case
Ikhushbu/EuroPython-2018
This repository contains starter code for building a question-answering system over SQuAD.
Ikhushbu/fastai
The fastai deep learning library, plus lessons and and tutorials
Ikhushbu/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Ikhushbu/julia
The Julia Language: A fresh approach to technical computing.
Ikhushbu/jupyter
Jupyter metapackage for installation, docs and chat
Ikhushbu/keras-text-summarization
Text summarization using seq2seq in Keras
Ikhushbu/machine-learning-articles
Monthly Series - Top 10 Machine Learning Articles
Ikhushbu/machine_learning_basics
Plain python implementations of basic machine learning algorithms
Ikhushbu/MachineLearning
Machine Learning Notes
Ikhushbu/MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Ikhushbu/R-net
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Ikhushbu/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Ikhushbu/Vega_lite