Aktaruzzaman Aman's repositories
Image_Segmentation_and_Statistical-analysis
Image segmentation and statistical analysis techniques have been applied to determine cancer cells progression in that area of specimen. OpenCV 'grabCut' algorithm and multiple image threshold and segmentation techniques have been applied
Data_Augmentation
Data augmentation technique has been demonstrated using ImageDataGenerator tool from keras.preprocessing tool
House-Price-Prediction---Kaggle-Project
With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.
Kaggle_Digit_Recognition-Kaggle_Project
This is a Kaggle beginner competition: Digit Recognizer
Object-recognition-using-transfer-learning
Classify image by using KERAS pre-trained model. It calls transfer learning. All you need to do is choose your model based on your application and load them in your kernel and last few layers as your application requires and train only those few layer/s then your are good to go
Titanic-Machine-Learning-from-Disaster-Kaggle_Project
Machine Learning on titanic tragic.
DataSink
Data files for all tutorials
deep-learning
In-depth dive into neural nets, deep nets, CNN's, RNN's, face recognition, neural style transfer, object detection and structuring/debugging machine learning projects. Coded using Python 3, numpy, and TensorFlow through Jupyter Notebook
Genetic_algorithm-to-solve-system-of-equation
The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions.
Hand-signal-recognition---Andrew-Ng-s-tutorial
its a home work on hand signal recognition tutorial by Andrew NG
kivy
kivy_sample_project
Model_selection_crossvalidation
Review accuracy estimation methods and compare methods: crossvalidation and bootstrap
notebook
Jupyter Interactive Notebook
PandasTricks
use these data for practice pandas tricks
Plant-Disease-Diagnostics-using-UAV-and-Android-APP
Plant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.
silverpos
A POS/Stock Control System baked with python3 and kivy
Smart-Security-Camera
IoT security camera running open-cv for object detection 📹