Sougata Pramanik's Projects
š A curated list of the Question Answering (QA)
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of pretrained sentence and word embedding models
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Basic Python CLI programs
š A ranked list of awesome machine learning Python libraries. Updated weekly.
:link: Some useful websites for programmers.
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Interactive Data Visualization in the browser, from Python
CNN for Multiple Choice Question Answering
Repository for the CODAH dataset
A complete computer science study plan to become a software engineer.
A set of tools and algorithms to perform in programming competitions
Programming Solutions for OJs and Algorithms
Personal repository of algorithms, data structures, references and any other useful information.
The Data Engineering Cookbook
fast.ai Courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
General Assembly's Data Science course in Washington, DC
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Experimenting with the code examples from the book "Data Science from Scratch: First Principles with Python"
code for Data Science From Scratch book
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
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.
common data analysis and machine learning tasks using python
Open Source Data Science Resources.
A collection of datasets of ML problem solving