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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

air_defence_system

Air Defence System contains: (Three micro-controllers Atmega16) Radar, Wind_Speed meter, Missile_Launcher as inputs and Target_Serine, Alarm_Serine as outputs. Radar gives you the number of detected target, Wind_Speed meter gives you analog signal which is propotional to the measured wind speed, Missile_Launcher has 8 missiles; reads a digital value to determine which missile out of 8 should be launched. when radar detects target, sys immediately activates the Target_Serine. If the reading of radar indicates more than 8 targets; system activates Alarm_Serine.

air_defence_system_with_rtos

System designed by real-time operating system with Dynamic and Static Architectures and making a scheduler between tasks.

airbnb_kagglecompetition

Target is to predict which country a new user's first booking destination will be. Dataset Link on Kaggle: https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings/data

algorithms

Workshop Algorithms

arabicdialectsclassification

Create Flask App to detect and multi-class classify the Arabic dialects.

bayesian-inference-and-modeling-using-factor-graphs

Develop Bayesian inference and modeling using Factor Graphs for Probabilistic machine learning user interface to facilitate building new graph models for front end developers designed with WPF by C# and Infra.net languages using Microsoft Visual Studio.

better-strings-with-java-apache-netbeans

Your goal is to make a method called betterString that takes two Strings and a lambda that says whether the first of the two is “better”. The method should return that better String; i.e., if the function given by the lambda returns true, the betterString method should return the first String, otherwise betterString should return the second String. Given a String, the task is to check whether a string contains only alphabets or not.  use isLetter() method of Character class.

car-crashes-severity-prediction

# Car Crashes' Severity Prediction ## Get Started: You are given information about the environment of the car crash and you're required to predict the severity of the crash out of 4 level. The predictive system is already built but it needs some data of good quality. You need to prepare the dataset and train the prediction systems. This predictive system will be helpful to anticipate the resources to engage by San Francisco Municipality depending on its severity. ### Link The link to this challenge can be found here: [Kaggle Link](https://www.kaggle.com/c/car-crashes-severity-prediction)

city-and-country-data-manipulation-with-java

Develop and application that reads two files for cities and countries and store each in a List. Each city entry contains code, name, continent, Surface Area, population Create a map that uses the country code as keys and a list of cities as the value for each country. For a given country code sort the cities according to the population

computer-vision-labs

computervision-projects

Some simple computer vision implementations using OpenCV

deep-learning

e2e_ds_project

Tutorial repo for an end-to-end Data Science project

face_mask_detector_webapp-by_streamlit_heroku-

This Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using images data set from Kaggle. The trained model has been shared in this repo.

flowchart-converter

A WinForms application that helps users create programs using simple flowcharts.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hands-on-reinforcement-learning

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

hyperparametertuning-script-using-kerastuner-and-tensorboard

Hyperparameter Tuning Script using Keras_tuner and Tensorboard

i_phone-system-with-rtos

System designed by real-time operating system with Dynamic and Static Architectures and making a scheduler between tasks.

i_phone_basic

Designing the digital control system which controls Screen_Luminance, Speaker and Ringer, Assume the phone has two modes CALL_Mode & NO_CALL_Mode and both has its own setting, then phone waits for the ACCEPT_CALL signal or END_CALL signal.

image-compression

Image Compression project using K-means and SVD algorithms.

introduction-to-computer-vision

Introduction to Computer Vision (Udacity Course)

investigating-netflix-movies-and-guest-stars-in-the-office

In this project, you’ll apply the skills you learned in Introduction to Python and Intermediate Python to solve a real-world data science problem. You’ll press “watch next episode” to discover if Netflix’s movies are getting shorter over time and which guest stars appear in the most popular episode of "The Office", using everything from lists and loops to pandas and matplotlib. You’ll also gain experience in an essential data science skill — exploratory data analysis. This will allow you to perform critical tasks such as manipulating raw data and drawing conclusions from plots you create of the data. Press play to begin!

java-final-project-iti_ai

Task: • Build all java needed classes (POJO , DAO, web service and a tester client for the web service) • Make a web service to get the following from the data set: 1. Read data set and convert it to dataframe or Spark RDD and display some from it. 2. Display structure and summary of the data. 3. Clean the data (null, duplications) 4. Count the jobs for each company and display that in order (What are the most demanding companies for jobs?) 5. Show step 4 in a pie chart 6. Find out What are it the most popular job titles? 7. Show step 6 in bar chart 8. Find out the most popular areas? 9. Show step 8 in bar chart 10. Print skills one by one and how many each repeated and order the output to find out the most important skills required? 11. Factorize the YearsExp feature and convert it to numbers in new col. (Bounce ) 12. Apply K-means for job title and companies (Bounce )

kaggle-competition-arabic-hand-letters-predictions

You're given images of handwritten Arabic characters and you're required to recognize the character.

kaggle-competition-dry-beans-classification

Evaluation ITI - AI Pro Timeline It's simple. You are given a set of features extracted from the shape of the beans in images and it's required to predict the type of each bean. There are 7 bean types in this dataset.

kaggle-competition_seoul-bike-rental-prediction

You are provided hourly rental data along with weather data. For this competition, the training set is comprised of the first 20 days of each month, while the test set is the 21th to the end of the month. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the rental period.

kinesisshardcalculator

Compute the optimal number of shards for your Kinesis stream