indhra Goto Github PK

2019

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

cats-ijcnn-data-2004

CATS IJCNN Data 2004 Competition of Artificial Time Series

datascience_programming

final plan and execution roadmap of Programming skills required for Data Science for an experienced Professional

datasets

data from here will be accessible publicly

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-fastai-and-pytorch

using fast ai and pytorch learnings from Jeremy's textbook

dlworkshop

dqn-multi-agent-rl

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

hackerrank

learnings from hacker rank

helloworld

1.Numpy tutorial

hmm_on_gps

implementation of hmm on gps data collected by microsoft

incremental_decision_tree-cart-random_forest_python

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

kaggle

code competitions and experimental codes

machine-learning-models

ml_learnings

All the learnings in Data Science and Machine learning Field using various resources

ml_trainings

Topic wise jupyter notebooks to go through the concept along with its required data

mlproject1

natural_language_processing_llms

From Scrath to advanced LLMs all at one place both learnings and hands on

practical_deep_learning

Deep Learning Hands on Coding and notes from the inspiration of Jeremy Howard of Fast.AI.

practical_statistics_for_datasciecne

version created by Indhra based on the book Practical Data Science by Mr.Bruce

project_euler

Optimized Mathematical solutions using Python

py

Repository to store sample python programs for python learning

pyspark_portilla

qiskit-camp-asia-19

quantum_qiskit

qiskit tokyo camp all submissions

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

statistics_probability_ganeshsir

tableau

Learnings & Sharings of Tableu, this will be a open project and will be constantly updated