Rudra Prasad Barik's repositories
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
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.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
pyspark-cheatsheet
🐍 Quick reference guide to common patterns & functions in PySpark.
Machine-Learning-Workflow-with-Python
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
numpy-100
100 numpy exercises (100% complete)
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
machine-learning-2
Content for Udacity's Machine Learning curriculum
pwc
Papers with code. Sorted by stars. Updated weekly.
bigdata
This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
decision-trees-for-ml
Building Decision Trees From Scratch In Python
awesome-courses
:books: List of awesome university courses for learning Computer Science!
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
learning-apache-spark
Notes on Apache Spark (pyspark)
aws-csa-2017
Study Notes for AWS Certified Solutions Architect Associate - 2017
easy-tensorflow
Simple and comprehensive tutorials in TensorFlow
Math-for-AI
concepts of probability and statistics for machine learning and Artificial Intelligence
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
spark-sklearn
Scikit-learn integration package for Apache Spark
DemoGit
hello world
python4ds
Python for Data Science
data
An index of all open-source data
data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)