indhra

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

hackerRank

learnings from hacker rank

helloworld

1.Numpy tutorial

hmm_on_gps

implementation of hmm on gps data collected by microsoft

Kaggle

code competitions and experimental codes

ML_Learnings

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

Practical_Deep_learning

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

project_Euler

Optimized Mathematical solutions using Python

indhra/helloworld

1.Numpy tutorial

indhra/hmm_on_gps

implementation of hmm on gps data collected by microsoft

indhra/Kaggle

code competitions and experimental codes

indhra/2019

indhra/awesome-quantum-computing

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

indhra/CATS-IJCNN-DATA-2004

CATS IJCNN Data 2004 Competition of Artificial Time Series

indhra/hackerRank

learnings from hacker rank

indhra/ML_Learnings

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

indhra/Practical_Deep_learning

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

indhra/project_Euler

Optimized Mathematical solutions using Python

indhra/tableau

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

indhra/computer_vision_Tensorflow_OpenCV_DL

Using deep learning and frameworks like tensorflow and openCV to start with

indhra/DataScience_Programming

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

indhra/Datasets

data from here will be accessible publicly

indhra/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

indhra/Deep-Learning-with-FastAI-and-Pytorch

using fast ai and pytorch learnings from Jeremy's textbook

indhra/dlworkshop

indhra/dqn-multi-agent-rl

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

indhra/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

indhra/Machine-Learning-Models

indhra/ML_Trainings

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

indhra/MLproject1

indhra/Natural_Language_Processing_LLMs

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

indhra/Practical_Statistics_for_DataSciecne

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

indhra/PySpark_Portilla

indhra/qiskit-camp-asia-19

indhra/quantum_qiskit

qiskit tokyo camp all submissions

indhra/reinforcement-learning

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

indhra/Statistics_Probability_GaneshSir

indhra/wine-quality-prediction

Based on the measured chemical properties of wine from south of France use Data Science and ML to predict the wine quality