Pinned Repositories
bootstrap
implementing bootstrap
CadorsMap
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
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.
K_means_clustering
Implementation of k_means clustering algorithm on a dataset from scratch as well as via numpy
Neural-Network-from-scratch
Built Neural Network from scratch (on MNIST data set)
News_Recommender-
numpy-practice
100 numpy exercise to brush up the skills with numpy library and to get familier with
Sequential-Feature-Selection
udemy-download-script
script to download full udemy courses (you should be subscribed to that course) at once
asa338's Repositories
asa338/udemy-download-script
script to download full udemy courses (you should be subscribed to that course) at once
asa338/numpy-practice
100 numpy exercise to brush up the skills with numpy library and to get familier with
asa338/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.
asa338/bootstrap
implementing bootstrap
asa338/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
asa338/juliangarnier.com
Personal mini website
asa338/kaggle-Titanic-Problem
https://www.kaggle.com/arshahuja
asa338/my-mini-website
simple chat model website implementing JS,HTML,CSS
asa338/numpy_exercises
Numpy exercises.
asa338/subtle-pattern-vector
all the patterns
asa338/CadorsMap
asa338/K_means_clustering
Implementation of k_means clustering algorithm on a dataset from scratch as well as via numpy
asa338/Neural-Network-from-scratch
Built Neural Network from scratch (on MNIST data set)
asa338/News_Recommender-
asa338/Sequential-Feature-Selection
asa338/-SparkML-R-Programming
Practical 5 -SparkML & R Programming ( DEIT-14610)
asa338/arshahuja.github.io
asa338/bigdata-cmpt733
Big Data Programming II
asa338/Created-in-git
repo
asa338/Created-in-GitHub
Created-in-GitHub
asa338/Data-Analysis-in-R-
Titanic Data Set analysis - arshahuja.github.io/Data-Analysis-in-R-
asa338/EDA
Plotting for Exploratory data analysis of IRIS flower dataset
asa338/Hacker-rank-python-challenges
https://www.hackerrank.com/domains/python/py-introduction
asa338/Improving-Deep-Neural-Networks-Hyperparameter-Tuning-Regularization-and-Optimization
Deep Learning Specialization (Prof. Andrew Ng): Course 2
asa338/K-Logistic-
implementing k-logistic regression on MNIST data using Numpy and comparing accuracy with sklearn
asa338/Linear-Programming-in-R
asa338/multivarient_linear_regression
implementing multi linear regression(FROM SCRATCH) using numpy and then comparing the results with Sklearn .
asa338/python-coding-practice
Python coding practice from LeetCode and Geek for Geek
asa338/tech-interview-handbook
💯 Algorithms, front end and behavioral content for rocking your coding interview. 🆕 Interview Cheatsheet! 🆕
asa338/udemy-dl
Python script to download a udemy.com course, for personal offline use.