Pinned Repositories
aekansh-08
Config files for my GitHub profile.
air-pollution-prediction
My project on time-series analysis and future prediction of levels of air pollution in the US
air-quality-analysis-forecasting
This repository contains the notebooks used in my project "Air quality analysis and forecasting"
Air-quality-index-prediction-using-LSTM
I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis
airpollution_deeplearning
Deep learning for prediction of air pollution trend in India
Algorithms
A collection of algorithms and data structures
ANN1-ai1-fall2019
Classification-ai1-fall2019
course-v3
The 3rd edition of course.fast.ai
CSOC-dev-week2
The repository for CSOC dev week 2 submissions.
aekansh-08's Repositories
aekansh-08/aekansh-08
Config files for my GitHub profile.
aekansh-08/air-pollution-prediction
My project on time-series analysis and future prediction of levels of air pollution in the US
aekansh-08/air-quality-analysis-forecasting
This repository contains the notebooks used in my project "Air quality analysis and forecasting"
aekansh-08/Air-quality-index-prediction-using-LSTM
I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis
aekansh-08/airpollution_deeplearning
Deep learning for prediction of air pollution trend in India
aekansh-08/Algorithms
A collection of algorithms and data structures
aekansh-08/ANN1-ai1-fall2019
aekansh-08/Classification-ai1-fall2019
aekansh-08/course-v3
The 3rd edition of course.fast.ai
aekansh-08/CSOC-dev-week2
The repository for CSOC dev week 2 submissions.
aekansh-08/DeepPhotoStyle_pytorch
PyTorch implementation of "Deep Photo Style Transfer"
aekansh-08/Hactoberfest-2021
aekansh-08/LearningAModel-ai1-fall2019
aekansh-08/LearningFromLoss-ai1-fall2019
aekansh-08/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
aekansh-08/MLAlgorithms
This repository has python notebooks covering different machine learning algorithms with code explanations and data insights. I have tried to include possible error pitfalls and proposed a solution around them wherever possible.
aekansh-08/myappsample
Sample app for tutorial
aekansh-08/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
aekansh-08/neural-style-tf
TensorFlow (Python API) implementation of Neural Style
aekansh-08/Neural_style_transfer
aekansh-08/placeholder
aekansh-08/Preliminaries-ai1-fall2019
Git and Baby Python Preliminaries for Ai1, Fall 2019
aekansh-08/Preprocessing-for-deep-learning
This is the notebook associated with the blog post:
aekansh-08/ProbabilityDistributions-ai1-fall2019
aekansh-08/Regression-ai1-fall2019
aekansh-08/Risk-ai1-fall2019
aekansh-08/StartingWithPython-ai1-fall2019
Starting our Journey with an Overview and some Python
aekansh-08/TransferLearning-ai1-fall2019
aekansh-08/Tutorial-Arima-w-jeffrey-yau
aekansh-08/ValidationRegularization-ai1-fall2019