aieml
The Perceptron is an education platform dedicated for Data Science and Artificial Intelligence related fields. Our main objective is to keep you updated.
Pinned Repositories
Advanced-Python-Day-01
Deep-Learning-Neural-Networks-1-Day-Workshop
In the Deep Learning & Neural Networks 1 Day Workshop, we discussed about the concepts of Artificial Intelligence, Machine Learning & Deep Learning. We covered the theories and mathematics behind Deep Feed Forward type Neural Networks and at the last phase of the workshop a Neural Network was implemented in Google Co-Lab using Tensorflow and Keras.
DLNN-Week-02
In this week we discussed about Feed Forward Type Neural Networks, Supervised Deep Learning and Forward Propagation and implemented simple 4 layer Deep FFNN for Iris Flower example.
face-mask-detection-keras
ML-IP-Workshop
All the materials used, codes and notes used in Machine Learning and Image Processing 1 Day Free Workshop held on 01st June 2019 are uploaded here.
Python-Modules-Tutorial
tensorflow-object-detection-api-configuration
This tutorial discusses how to configure the Tensorflow Object Detection API in windows and how implement custom object detection.
Week-01
Python Programming Basics and Essential Python Module
Week-03
Week-11
In Week 11 we discussed about Recurrent Neural Networks and Long-Short-Term memory cells. Then we started building a chatbot. As the initial part we discussed about the Word2Vec Algorithm and implemented it in python with the help of Gensim and NLTK libraries
aieml's Repositories
aieml/face-mask-detection-keras
aieml/tensorflow-object-detection-api-configuration
This tutorial discusses how to configure the Tensorflow Object Detection API in windows and how implement custom object detection.
aieml/Python-Modules-Tutorial
aieml/Advanced-Python-Day-01
aieml/MLW-Day-01
aieml/python-plays-dinosaur-game
This repository contains the materials used for implementing a Python code to automate and play the Chrome Dinosaur Game
aieml/COVID-19-Prediction-SL
This is an analysis done based on the confirmed cases of COVID-19 virus up to 24th of March. Using Linear Regression, the confirmed cases are predicted for coming 10 days (upto 05th of April). Lets hope this wont be accurate.
aieml/MLON-Week-02
aieml/webapp_covid
aieml/ADPY-DAY-06
aieml/Advanced-Python-Day-02
aieml/Advanced-Python-Day-03
aieml/Advanced-Python-Day-04
aieml/Advanced-Python-Day-05
aieml/Advanced-Python-Day-05-new
aieml/APDY-Tutorial-03
aieml/APDY-Tutorial-04
aieml/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
aieml/diabetic-app
aieml/diabetic-app-new
aieml/DLNN-Week-07
This week we discussed about Recurrent Neural Networks, Long Short Term Memory Cells, Back Propagation through time and how to apply LSTMs for time series/ sequence data. Then we implemented a simple random LSTM Neural Network to predict stock market values using a real data-set from AAPL.
aieml/DLNN-Week-08-GANs
This week we discuss about Generative Adversarial Networks
aieml/DLNN-Week-10
In this week we discussed about Reinforcement Learning. Under the topic, Q Learning and Policy based Learning sections were discussed. And we implemented a RL Agent for Cart-Pole environment available in Gym Module.
aieml/MLON-Week-03
aieml/MLON-Week-04
This week we discussed about Support Vector Machine
aieml/MLON-Week-05
aieml/MLW-Tutorial-01
aieml/test
aieml/Week-06
In this week we discussed about Feature Engineering, Dimensional Reduction Algorithms and Unsupervised Machine Learning Algorithms
aieml/Youtube-Code-Repository
Repository for most of the code from my YouTube channel