ARSHDEEP SINGH 's repositories
python-coding-practice
Python coding practice from LeetCode and Geek for Geek
numpy_exercises
Numpy exercises.
bigdata-cmpt733
Big Data Programming II
Created-in-git
repo
Created-in-GitHub
Created-in-GitHub
Energy-Plant-recommendation-for-Biofuel
Every year in the months of harvest,(October, November) Farmers from Punjab and Haryana burn paddy straw( around 35 million tonnes) to clear the paddy fields, to quickly clear the fields. They have 25 days before they have to prepare the fields for the wheat crop. The burning is harmful to the environment as well as to the soil nutrients and to health. They not only help in reducing pollution but also incentivizes farmers to not to burn. They are in the process of expanding to 22 Districts of Punjab. This business couldn’t survive if the transportation cost is too high. So we used Data analytics to recommend the locations which are dense in paddy fields to use their plants to the fullest capacity and also minimize the transportation cost. To do so , we scraped the google satellite data to find dense farmlands in the form of images which are then processed further for patch detection.
Neural-Network-from-scratch
Built Neural Network from scratch (on MNIST data set)
K-Logistic-
implementing k-logistic regression on MNIST data using Numpy and comparing accuracy with sklearn
multivarient_linear_regression
implementing multi linear regression(FROM SCRATCH) using numpy and then comparing the results with Sklearn .
K_means_clustering
Implementation of k_means clustering algorithm on a dataset from scratch as well as via numpy
Data-Analysis-in-R-
Titanic Data Set analysis - arshahuja.github.io/Data-Analysis-in-R-
-SparkML-R-Programming
Practical 5 -SparkML & R Programming ( DEIT-14610)
EDA
Plotting for Exploratory data analysis of IRIS flower dataset
tech-interview-handbook
💯 Algorithms, front end and behavioral content for rocking your coding interview. 🆕 Interview Cheatsheet! 🆕
Improving-Deep-Neural-Networks-Hyperparameter-Tuning-Regularization-and-Optimization
Deep Learning Specialization (Prof. Andrew Ng): Course 2
udemy-download-script
script to download full udemy courses (you should be subscribed to that course) at once
Hacker-rank-python-challenges
https://www.hackerrank.com/domains/python/py-introduction
udemy-dl
Python script to download a udemy.com course, for personal offline use.
kaggle-Titanic-Problem
https://www.kaggle.com/arshahuja
my-mini-website
simple chat model website implementing JS,HTML,CSS
numpy-practice
100 numpy exercise to brush up the skills with numpy library and to get familier with
subtle-pattern-vector
all the patterns
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
juliangarnier.com
Personal mini website