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artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

batch_processing_of_twitter_data

A Batch Processing Data pipeline to ingest the twitter data for a particular hashtag using twitter API’s into a csv file in batches into Hadoop filesystem.

beer_style_predictions

The goal of the classifiers used is to predict style of a beer(which is one of three classes: stout, lager or ale) based on the attributes calorific_value, nitrogen, turbidity, style, alcohol, sugars, bitterness, beer_id, colour, degree_of_fermentation.KNN and Logistic Regression are the two classification algorithms used for the task.

cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

container_as_a_service

Demonstrating the simulation of Container-based virtualization

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

data-science--cheat-sheet

Cheat Sheets

deep_learning.ai

Programming exercises/Labs implemented while doing the Deep_Learning.ai course on Coursera. Mainly intended for my future reference.

detection-and-classification-of-speed-limit-signs

Traffic sign detection and interpretation is an important element of advanced driver assistance systems in vehicles, and is integral to the development of fully autonomous vehicles. An important subset of traffic signs are signs that indicate that a speed limit is in operation, and for which correct detection is particularly critical. Camera-based technologies are an obvious way to achieve this goal and can be used in both autonomous vehicles and in vehicles with drivers as an aid to the driver. The objective of this mini-project is to develop a system to detect speed limit signs, and to determine the applicable speed limit, by processing a database of test images

image_classification_using_keras

Image classification from scratch, starting from JPEG image files on disk, without leveraging pre-trained weights or a pre-made Keras Application model to demonstrate the workflow on the Kaggle Cats vs Dogs binary classification dataset.

industrial-visuainspection-in-the-presence-of-noise

Industrial Visual Inspection in the Presence of Noise

information_extraction_nlp

Extracting the information of the football players from the given dataset. Dataset consist of paragraph descriptions about few players ,we need to extract different information like clubs that they played for, positions they played in , country that they played for etc.

library_management_system_cpp

The project was developed under the C++ Programming course. This project handles all the details of a library and makes the job of a librarian easy.

linear_and_randomforest_regression

The goal of this assignment is to gain practical experience of performing regression on a small but realistic dataset, using a machine learning package.

logistic_regression_from_scratch

Implementing Multi-class Logistic regression from scratch without using any already available libraries

machine_learning-scikit-learn_r

Programming exercises implemented while doing the Machine_Learning_A-Z course on Udemy. Mainly intended for my future reference.

map_reduce_java8_streams

Implementation of Map reduce in parallel using Java 8 streams

multimodal_sentiment_analysis_thesis

This repository contains the code used/written as part of my masters thesis on the topic of Multimodal sentiment analysis.

named-entity-recognition

Named Entity Recognition using the MIT movie corpus

neural_machine_translation

Machine Translation using Encoder-Decoder Architecture(Seq2Seq) and Global attention

neural_network_from_scratch

Implemented Logistic Regression( with Neural Network Mindset), Shallow Neural Network and then Deep Neural Network from scratch without using any already available implementations of Keras/Pytorch/Scikit-learn and tested it on the CIFAR-10 dataset.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp_spellchecking_system

This assignment will involve the creation of a spellchecking system and an evaluation of its performance.

object_detection_and_classification

The aim of this project/assignment is to build a Deep learning computer vision pipeline for real-time object detection and classification for detecting cars and classifying them as SUV or Sedan after which the processing flow pipeline should be optimized.

production_line_visual_inspection

Automated Visual Inspection using Matlab's Image Processing Toolbox to identify faults in Coca Cola bottles on a production line

r_programming-data_visualisation-statistics

Learning to Program in R hands-on by assignments

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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