Himanshu Pal's repositories
Phase-Field-Modelling
This repository includes my work/assignments while studying MOOC course on NPTEL. The course was on Phase Field Modelling: Computatonal aspect of materials science and Mathematics. Code is in Octave/Matlab.
Imaginary-Numbers-Are-Real
Code To Accompany YouTube Series Imaginary Numbers Are Real
algorithmic_tool_box
This repository contains coding solution for couresra's algorithmic toolbox course. Code is mainly in c++. It is for the higher understanding of algorithms.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
basics-sql
SQL_Learning and python notebooks from various resources.
books
:books: Books worth reading
chai
BDD / TDD assertion framework for node.js and the browser that can be paired with any testing framework.
cosmos
[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Dr.-Semmelweis-and-the-discovery-of-handwashing
In 1847 the Hungarian physician Ignaz Semmelweis makes a breakthough discovery: He discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives. Here I have reanalyzed the medical data Semmelweis collected.
Free-Artificial-Intelligence-Books
A curated collection of free AI related eBooks
free-data-science-books
Free resources for learning data science
github-slideshow
A robot powered training repository :robot:
hyperspy
Multidimensional data analysis
ipython-in-depth
IPython in-depth Tutorial, first presented at PyCon 2012
iris_dataset
ML application on Iris dataset available on Kaggle.
jupyter-CAF-kernel
:sparkles: A Coarray Fortran Jupyter notebook kernel :cloud: :computer: :notebook: :zap:
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Mandi_data
Aim: Your team is working on building a variety of insight packs to measure key trends in the Agriculture sector in India. You are presented with a data set around Agriculture and your aim is to understand trends in APMC (Agricultural produce market committee)/mandi price & quantity arrival data for different commodities in Maharashtra.
ML_UCSD
This repository is a collection of notes, slides and Assignments of MOOC course provided by UCSD.
mlcourse_open
OpenDataScience Machine Learning course. Both in English and Russian
personal-website
A Empty template blog
Python
All Algorithms implemented in Python
Python4DS
This repository contains the assignment and practices of Datascience Micromasters Program provided by UCSD on Edx.org
PythonMachineLearning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques