Alexxakiode

Convolution-Neural-Network---Classification-of-Images--Dog-or-Cat-

Deep Learning using Convolution Neural Network is a way of filtering images according to their pixel values thereby extracting new optimum value for accurate prediction output through multiple processes.

Deep-Learning-Project-CartPole-Balancing-within-200-Steps-in-20-Episodes

Deep Learning is simply a way of deepening the process by which a machine learning application support increased accuracy of a prediction, while reducing the error drastically. This learning process can be applied on unstructured and structured datasets.

Feed-Forward-Neural-Network-Multilayer-Perceptron---classifying-images-on-FashionMNIST-Dataset

Introduction specific to FashionMNIST dataset: This dataset is made up of images of a typical fashion superstore comprising of t-shirts, shoes and other eight classes. We will be creating a model that can allow us to predict the right item of the 10 classes of items.

Introduction-to-Image-Processing-using-Machine-Learning

Image processing technique is used in manipulating images, videos and other forms of imagery identification to help generate optimum output for analysis and visualisation.

Introduction-to-Machine-Learning

Machine Learning is the act of allowing machines to use data input for calculation within a model to propagation the output

Introduction-to-Natural-Language-Processing

Natural Language Processing (NLP) technique is used to generate and understand human language using artificial intelligence and then determine whether data, reviews, report, and other results is positive, negative, or neutral.

Introduction-to-Neural-Network---Diabestes-or-Not-

Deep learning is simply a way of digging deep into a data and breaking it into the simplest form for analysis. This is mostly done within the hidden layers using functions such as Activation.

Microwave_oven_AI_monitoring

Microwave_oven_AI_monitoring_Streamlit_deployment

Time-Series-accuracy-prediction-and-forecast-for-the-next-20-heart-rate-using-Machine-Learning

Looking into how to predict and forecast heart rate judging from previous heart records acquired from medical sensors for a patient

Alexxakiode/Time-Series-accuracy-prediction-and-forecast-for-the-next-20-heart-rate-using-Machine-Learning

Looking into how to predict and forecast heart rate judging from previous heart records acquired from medical sensors for a patient

Alexxakiode/Convolution-Neural-Network---Classification-of-Images--Dog-or-Cat-

Deep Learning using Convolution Neural Network is a way of filtering images according to their pixel values thereby extracting new optimum value for accurate prediction output through multiple processes.

Alexxakiode/Deep-Learning-Project-CartPole-Balancing-within-200-Steps-in-20-Episodes

Deep Learning is simply a way of deepening the process by which a machine learning application support increased accuracy of a prediction, while reducing the error drastically. This learning process can be applied on unstructured and structured datasets.

Alexxakiode/Feed-Forward-Neural-Network-Multilayer-Perceptron---classifying-images-on-FashionMNIST-Dataset

Introduction specific to FashionMNIST dataset: This dataset is made up of images of a typical fashion superstore comprising of t-shirts, shoes and other eight classes. We will be creating a model that can allow us to predict the right item of the 10 classes of items.

Alexxakiode/Introduction-to-Image-Processing-using-Machine-Learning

Image processing technique is used in manipulating images, videos and other forms of imagery identification to help generate optimum output for analysis and visualisation.

Alexxakiode/Introduction-to-Machine-Learning

Machine Learning is the act of allowing machines to use data input for calculation within a model to propagation the output

Alexxakiode/Introduction-to-Natural-Language-Processing

Natural Language Processing (NLP) technique is used to generate and understand human language using artificial intelligence and then determine whether data, reviews, report, and other results is positive, negative, or neutral.

Alexxakiode/Introduction-to-Neural-Network---Diabestes-or-Not-

Deep learning is simply a way of digging deep into a data and breaking it into the simplest form for analysis. This is mostly done within the hidden layers using functions such as Activation.

Alexxakiode/Microwave_oven_AI_monitoring

Alexxakiode/Microwave_oven_AI_monitoring_Streamlit_deployment